33 Data Integration jobs in Canada
Java Tech Lead Data Integration
Posted today
Job Viewed
Job Description
Job Description
Salary: 60K-120K
(English version follows.)
Lead technique Java Intgration de donnes
Sherpa est la recherche de dveloppeurs.euses Java expriments pour transformer des donnes complexes provenant de multiples sources (API tierces, fichiers CSV/XML, plateformes clients) en flux structurs qui alimentent nos plateformes web et mobiles.
Sherpa conoit des plateformes utilises dans le cadre de confrences, salons professionnels et vnements denvergure travers le monde. Nos clients comptent sur nous pour livrer des solutions fiables et de haute qualit, dans des dlais serrs. Le rythme peut tre exigeant, mais limpact concret sur le succs des vnements est extrmement gratifiant.
Ce rle implique une collaboration troite avec les clients, nos spcialistes en intgration, ainsi que les quipes de production, de dveloppement et de produit.
La matrise du franais et de langlais est essentielle.
Votre rle
Vous serez responsable de la mise en place des intgrations avec diverses sources de donnes. Vous prparerez et scuriserez les fondations techniques (structures, formats, flux de donnes).
Ce rle est central pour nos oprations de production et vous serez appel :
- Analyser les API, formats et contraintes des systmes clients afin de concevoir des structures de donnes prtes intgrer
- Encadrer et former les membres de lquipe
- Fournir aux intgrateurs les scripts, outils et gabarits ncessaires
- Structurer les flux dintgration, prparer les formats dentre et anticiper les enjeux potentiels
- Automatiser et optimiser les processus et le code
- Travailler avec des API REST pour transformer et structurer les donnes reues.
Profil recherch
- Matrise avance de Java (minimum 5 ans dexprience)
- Exprience comme responsable technique ou Tech Lead (minimum 2 ans)
- Excellentes comptences SQL (idalement PostgreSQL ou Oracle)
- Connaissance approfondie des bases du protocole HTTP et des services web
- Exprience significative avec lintgration dAPI REST
- Expertise dans la transformation de donnes client partir de formats varis (JSON, XML, CSV, Excel) vers des structures exploitables par nos systmes
- laise avec la ligne de commande Linux (ssh, tail, oprations sur fichiers, gestion de services, etc.)
- Excellente matrise de langlais (changes avec les clients et documentation technique)
- Excellente matrise du franais (collaboration interne)
Pourquoi se joindre Sherpa ?
- Flexibilit offerte pour un bon quilibre de vie et un ensemble davantages sociaux comptitifs
- Des projets et des clients passionnants et denvergure
- Une culture dquipe dynamique, intelligente, amicale et dtendue
- Vous serez implique ds le premier jour dans des livrables concrets qui comptent
Postulez ici :
Veuiillez noter que seules les personnes slectionnes pour une entrevue seront contactes.
***
Java Tech Lead Data Integration
Sherpa is seeking experienced Java developers to transform complex data from multiple sources (third-party APIs, CSV/XML files, client platforms) into structured flows that power our web and mobile app platforms.
Sherpa produces web and mobile platforms used at conferences, trade shows, and professional events worldwide. Our clients rely on us to deliver reliable, high-quality solutions on time. The pace can be demanding, but the tangible impact on event success is extremely rewarding.
This role requires close collaboration with clients, our integration specialists, and our production, development, and product teams.
You must be fluent in both French and English.
Your Role
You will set up integrations with various sources. You will prepare and secure the technical foundations (structures, formats, data flows).
This role is critical to our production operation, and you will:
- Analyze client-provided APIs, formats, and system constraints to design data structures ready for integration
- Train and supervise team members
- Provide team members with the training, tools and scripts they need
- Structure integration flows, prepare input formats and anticipate issues
- Automate and optimize processes and code
- Work with REST APIs to transform and structure received data
Your Qualifications
- Advanced proficiency in Java - Minimum 5 years
- Experience as a tech lead - Minimum 2 years
- Advanced SQL skills (preferably PostgreSQL or Oracle)
- Advanced knowledge of HTTP basics and web services
- Solid experience integrating REST APIs
- Expertise in manipulating and transforming client data from various formats (JSON, XML, CSV, Excel) into structures usable by our systems
- Comfortable with Linux command line (ssh, tail, file operations, service management, etc.)
- Fluent in English (for client-facing work)
- Fluent in French (required for internal collaboration)
Why Sherpa?
- We offer flexibility for a healthy work-life balance and a competitive benefits package
- Exciting, high-profile projects and clients
- A smart, dynamic, friendly, and relaxed team culture
- You'll be involved from day one in concrete deliverables that matter
Apply here:
Please note that onlythose selected for an interview will be contacted.
Senior Consultant, Data Integration and BI
Posted today
Job Viewed
Job Description
Job Description
Myers-Holum is expanding operations to India, and is actively seeking experienced Senior Consultants with strong data warehousing and business intelligence experience to play a pivotal role in the expansion of the India Practice.
Responsibilities
- Design, build, and test custom data warehouse and BI solutions for Myers-Holum clients using the Oracle NetSuite Analytics Warehouse (NSAW) platform
- Translate business requirements into technical specifications
- Develop custom data integration solutions to ingest data from multiple sources (cloud and on-premise) using various data integration / data pipelining tools, Oracle Analytics Cloud (OAC), and Oracle Autonomous Data Warehouse (ADW)
- Lead the product implementation, from start to finish acting as a trusted advisor to the stakeholders and end users
- In addition to meeting with the client during implementation phase, also run product training, and technical workshops with the client/end users
- Contribute to various internal MHI initiatives including resource mentorship and ongoing education
- Implement NSAW Best Practices
Qualifications and Skills
- 8+ years of relevant professional experience
- 4+ years experience with data management using Oracle or other relational database
- 4+ years experience with data warehouse and data integration projects, using ETL / data integration / data pipelining tools
- Proficiency with at least one cloud or on-premise data integration / data pipelining tool, such as Fivetran, Stitch, Talend, Glue, Nexla, Informatica, Oracle Data Integrator
- Proficiency in at least one version of SQL: Oracle (preferred), SQLServer, MySQL, PostgreSQL, Snowflake
- Experience with at least one of the following BI tools: Oracle OBIEE, OAC, Looker, PowerBI, Qlikview, Tableau
- Experience with using REST APIs and/or GraphQL APIs to get data from cloud data sources is preferred
- Knowledge of ERP data and business processes
- Business analysis skills
- Strong written and verbal communication skills
Why Become an MHIer
Your Life at Myers-Holum & What you Can Expect:
Do you desire collaboration? Are you ready to shape your future and positively influence change for your customers? If so, then it's time to join the MHI Team where you can own your individuality and collaborate with other curious and thought-provoking minds. Discover what you are capable of by paving your path through MHI using your expertise and discovering your true potential.
Every MHIer is committed to our mission and operating principles; We remain curious as we lead with a genuine interest in people, ideas, and the unknown. We remain humble in knowing we can change how we currently do things and it is our ability to learn and grow that makes us a success. We remain resilient in understanding that success is not linear and that through reflection and a steadfast passion for betterment, we can continue our mindful and purposeful growth.
A little about "Us"
We've been around for 40 years. You'll get stability & growth with us . Myers-Holum is a technology and management consulting firm that was founded in 1981 and continues to grow year after year. Today we have over 400 remote employees sitting across ten countries; United States, Canada, Mexico, Chile, Uruguay, Philippines, Vietnam, India & Pakistan.
The Partnerships we've built. Our cutting-edge technology partners include Oracle NetSuite, Stripe, Google Cloud Platform, Zone Billing, Celigo, and Boomi all working with us to provide the best customer experience throughout each implementation.
Our Structure. We're a boutique firm with a strong internal framework. Our powerful model includes robust Sales, Solution Architecture, Resourcing & Enablement, Consulting, Project Management, Managed Services & Development, and Integration departments with subject matter experts sitting in each function.
Our Employees. We're a company that recognizes we're only as strong as our people and each person who joins our firm contributes to our well-being. We strive to ensure all employees have a career path within Myers-Holum for both upward and lateral opportunities while maintaining a healthy work-life balance.
We're growing and making waves along the way, join us on this journey!
Our Benefits
- MHI offers a competitive base salary, incentive pay, and comprehensive benefits including medical, dental, vision, retirement plan, and paid time off. Full package offerings are based on the Country in which you reside.
- Company access to training and full coverage for certification/exam fees in a variety of products and professional skill sets
- Career growth and upward mobility to meet your long-term career goals with mid-year and annual reviews scheduled on a recurring basis
- MHI invests in our employee's health by offering a company medical insurance policy that covers 100% of premiums for the individual employee and manager's dependents with a ZERO deductible in the United States
- Remote working opportunity when not traveling for client requirements with full access to the team through technology
Our Process:
Our interview process is efficient and provides you with an opportunity to showcase your strengths, current abilities and share your future career aspirations while learning whether Myers-Holum would be a good fit for you. You will be paired with a member of our recruiting team who will handle all of the logistics as well as provide thoughtful feedback after each touchpoint to ensure you are kept within the loop from start to finish. Our recruiting timeline can be flexible to align with your circumstances; our typical timeline can take 2-4 weeks to complete however this can be adjusted or expedited depending on your needs. You can expect the following touchpoints when interviewing with MHI
- 30-minute call with our recruiting team
- 60-minute video call with a MHI Team Lead, Delivery Manager, or Practice Manager
- 90-minute interactive "Case Study" session with a Delivery Manager or Practice Manager
- Executive leadership review and decision making
We are dedicated to fostering a workplace environment that upholds and promotes equal employment opportunity, free from discrimination on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Our compensation ranges and packages are based on a wide array of factors unique to each candidate. It is not a common practice or guaranteed for an individual to be hired at or near the top of the range and compensation decisions are determined using a wide array of factors unique to each candidate, including but not limited to; skill set, years & depth of experience, certifications, and specific location due to cost of living & labor considerations; All of which will be considered during the interview and offer process. Salary ranges and incentive plans will differ in other countries in which MHI pays local currency.
Java Developer - Data & API Integration
Posted today
Job Viewed
Job Description
Job Description
Salary: 60K-120K
(English version follows.)
Dveloppeureuse Java Intgration de donnes et APIs
Poste Hybride et bilingue Montral
Sherpa recherche des dveloppeureuses Java expriments pour transformer des donnes complexes de multiples sources (APIs tierces, fichiers CSV/XML, plateformes clients) en flux structurs qui alimentent nos applications vnementielles. Votre code permet concrtement des milliers de participants de naviguer dans des congrs internationaux, grer leur agenda et faciliter leur networking.
Nos quipes dintgration transformeront ensuite ces contenus en livrables dploys lors de grands vnements internationaux.
Ce rle implique une collaboration troite avec les clients, nos spcialistes chargs de faire lintgration, les quipes de production, de dveloppement et de produit. Vous devez donc matriser le franais et langlais.
Sherpa produit des plateformes web et mobiles utilises lors de confrences, salons professionnels et vnements travers le monde. Nos clients comptent sur nous pour livrer des solutions fiables et de grande qualit, dans les dlais. Le rythme peut parfois tre exigeant, mais limpact concret sur la russite des vnements est extrmement valorisant.
Votre rle
Vous prparerez et scuriserez les fondations techniques (terminaisons, structures, formats, flux de donnes) qui alimentent les plateformes de nos clients pour leurs congrs et salons. Cela inclut la normalisation des formats pour garantir leur compatibilit avec nos systmes internes.
Ce rle est essentiel dans nos oprations de production :
- Vous analyserez les APIs, formats et contraintes systmes fournis par le client afin de concevoir des environnements backend structurs, prts tre intgrs
- Vous structurerez les flux dintgration, prparerez les formats dentre, anticiperez les problmes, et fournirez aux intgrateurs les environnements, outils, scripts ou configurations ncessaires
- Vous manipulerez des API REST pour transformer les donnes reues en environnements backend structurs
- Vous optimiserez les interactions avec les bases de donnes PostgreSQL et SQL
Vos qualifications
- Matrise avance de Java (ou dun autre langage orient objet)
- Matrise avance du SQL (PostgreSQL ou Oracle de prfrence)
- Matrise avance des bases du protocole HTTP et des services web
- Solide exprience dans lintgration dAPI REST
- Aisance avec les formats JSON, XML, XLS et CSV
- laise avec la manipulation de donnes clients dans des formats tels que CSV, Excel ou XML, et avec la conception denvironnements backend pour les pipelines dintgration.
- Aisance avec la ligne de commande Linux (ssh, tail, manipulation de fichiers, gestion de services, etc.)
- Matrise de langlais (pour les communications avec les clients)
- Matrise du franais (requis pour la collaboration interne)
Pourquoi se joindre Sherpa ?
- Flexibilit offerte pour un bon quilibre de vie et un ensemble davantages sociaux comptitifs
- Des projets et des clients passionnants et denvergure
- Une culture dquipe dynamique, intelligente, amicale et dtendue
- Vous serez implique ds le premier jour dans des livrables concrets qui comptent
Pour en savoir plus :
Postulez ici :
Veuiillez noter que seules les personnes slectionnes pour une entrevue seront contactes.
***
Java Developer Data & API Integration
Bilingual and Hybrid position in Montreal
Sherpa is seeking experienced Java developers to transform complex data from multiple sources (third-party APIs, CSV/XML files, client platforms) into structured flows that power our event applications. Your code directly enables thousands of attendees to navigate international conferences, manage their schedules, and facilitate networking.
Our integration teams will then transform this content into deliverables deployed at major international events.
This role requires close collaboration with clients, our integration specialists and our production, and our product development teams. You must therefore be fluent in both French and English.
Sherpa produces web and mobile platforms used at conferences, trade shows, and professional events worldwide. Our clients rely on us to deliver reliable, high-quality solutions on time. The pace can be demanding, but the tangible impact on event success is extremely rewarding.
Your Role
You will prepare and secure the technical foundations (endpoints, structures, formats, data flows) that power our clients' platforms for their conferences and trade shows. This includes normalizing formats to ensure compatibility with our internal systems.
This role is critical to our production operation, and you will:
- Analyze client-provided APIs, formats, and system constraints to design data structures ready for integration
- Structure integration flows, prepare input formats, anticipate issues, and provide integrators with the tools, scripts, or configurations they need
- Work with REST APIs to transform and structure received data
- Optimize database interactions with PostgreSQL and SQL
Your Qualifications
- Advanced proficiency in Java (or another object-oriented language)
- Advanced SQL skills (preferably PostgreSQL or Oracle)
- Advanced knowledge of HTTP basics and web services
- Solid experience integrating REST APIs
- Expertise in manipulating and transforming client data from various formats (JSON, XML, CSV, Excel) into structures usable by our systems
- Comfortable with Linux command line (ssh, tail, file operations, service management, etc.)
- Fluent in English (for client-facing work)
- Fluent in French (required for internal collaboration)
Why Sherpa ?
- We offer flexibility for a healthy work-life balance and a competitive benefits package
- Exciting, high-profile projects and clients
- A smart, dynamic, friendly, and relaxed team culture
- You'll be involved from day one in concrete deliverables that matter
Learn more:
Apply here:
Please note that onlythose selected for an interview will be contacted.
Manager, Data Engineering
Posted today
Job Viewed
Job Description
Job Description
Description
At CI, we see a great place to work as one that is a safe place for everyone to have a voice, where people are empowered to take ownership over meaningful work, where there is an opportunity to grow through stretching themselves, where they can work on innovative products and projects, and where employees are supported and engaged in doing so.
CI Financial is looking for an innovative leader to join our Data, AI & Analytics (DNA) team as the Manager of Data Engineering (Delivery). In this managerial role within the DNA team, you will oversee & perform the design, development, and optimization of scalable data pipelines and data models that enable seamless, reliable data flow and consumption across a variety of systems. Your work will support business objectives and empower data-driven decision-making. You will support the continuous advancement of our data engineering delivery practices, ensure data integrity, availability, and security, while promote strong collaboration across CI Global Asset Management.
KEY RESPONSIBILITIES:
Leadership & Strategy:
- Manage and lead a team of data engineers to deliver high-quality data solutions.
- Take ownership of project/initiative delivery, including planning, development, testing, and deployment, while working closely with cross-functional teams to ensure successful and timely outcomes.
Data Engineering:
- Design, development, and optimization of scalable data pipelines, data models to enable reliable data movement & consumption across diverse systems.
- Champion best practices in code quality and data architecture within the team.
- Develop and enhance data ingestion, transformation, and validation frameworks to improve productivity and ensure high data accuracy.
- Drive continuous improvements in platform architecture and CI/CD practices.
Collaboration & Communication:
- Collaborate closely with business analysts, product owners and business stakeholders to translate complex business problems into technical solutions.
Performance Optimization & Scalability:
- Troubleshoot and resolve production issues, including performance bottlenecks, data quality problems, and system failures; proactively identify recurring issues and optimize existing processes for reliability and efficiency.
- Drive continuous improvement of data platforms through automation, optimization, and monitoring.
Qualifications:
- 7+ years of hands-on experience in data engineering including 1–2 years of proven experience in managing high-performing data engineering or technology teams.
- Expertise in architecting and building scalable data platforms, ETL/ELT pipelines, and data integration solutions.
- Solid understanding of data warehousing concept and data architecture (Kimball and/or Data Vault 2.0 methodologies)
- Proficiency in languages like SQL and Python and experience with Snowflake or similar data platforms.
- Strong project management skills with experience leading data engineering projects, including defining project scope, timelines, and deliverables, and managing project risks.
- Ability to navigate between technical and business audiences.
- Exceptional problem-solving abilities with proven record of tackling complex data challenges and delivering practical, impactful solutions.
- Experience with DevOps practices, including CI/CD pipelines and automated deployment/testing frameworks.
Preferred Qualifications:
- Knowledge of asset management, financial services, or wealth management industries
WHAT WE OFFER
- Modern HQ location within walking distance from Union Station.
- Equipment Purchase Program.
- Training Reimbursement.
- Paid Professional Designations.
- Employee Share Purchase Program (ESPP).
- Corporate Discount Program.
- Enhanced group benefits.
- Parental Leave Top–up program.
- Fitness membership discounts.
- Volunteer paid Days.
We are focused on building a diverse and inclusive workforce. If you are excited about this role and are not confident you meet all the qualification requirements, we encourage you to apply to investigate the opportunity further.
Please submit your resume in confidence by clicking “Apply”. Only qualified candidates selected for an interview will be contacted. CI Financial Corp. and all of our affiliates (“CI”) are committed to fair and accessible employment practices and provide reasonable accommodations for persons with disabilities. If you require accommodations in order to apply for any job opportunities, require this posting in an additional format, or require accommodation at any stage of the recruitment process please contact us at , or call ext. 4747.
Data Engineering Manager
Posted today
Job Viewed
Job Description
Job Description
About Lantern
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.
About You:
- You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
- INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
- You have the GRIT , drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
- You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change.
- Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
- You thrive in a Team Environment. Collaboration is key in innovation and creating change.
These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT , individuals can find their way to the best care, resources, and support they need to get back to life.
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.
Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.
Lantern is searching for a seasoned Data Engineering Manager who will help shape the future of our Data Platform. This role will involve leading a team of Data Engineers and will require hands-on contribution to the design, development, and maintenance of the platform. The ideal candidate will bring deep expertise in Data Architecture, batch processing frameworks, and Data Modeling techniques, ensuring smooth data ingestion and export processes. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies. Success in this position will be defined by your ability to own deliverables, effectively manage your team, and drive significant, impactful results.
Location: Hybrid, 2 days a week with flexibility in Vancouver
Responsibilities :
- Lead and mentor a team of data engineers to design, develop, and deploy scalable solutions.
- Collaborate with product and business stakeholders to deliver data solutions that meet user needs.
- Architect, build, and maintain data infrastructure, ensuring reliability, scalability, and performance across various data sources and platforms.
- Implement Data Ingestion, Transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
- Collaborate with Data Engineers, Architects, and Business Analysts in building data models to improve reliability and interpretability of data for analytical and business needs.
- Define and enforce coding standards and document best practices within the team.
- Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
- Experience supporting production jobs and mitigate issues within the defined SLA.
- Partner with senior leadership to define Data Strategy, Roadmap and hiring for future needs.
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation
Experience:
- Bachelor's or Master's degree in computer science, Engineering, or a related field.
- 7+ years of experience in Data Engineering, with a track record of driving technical innovation and implementation of complex data solutions at scale
- 5+ years of hands-on programming experience Python
- 3+ years of experience managing a team or as a team lead
- 4+ years of Cloud Experience: Azure (preferred)/AWS/GCP.
- 3+ years of working with EDI or HIE standards (e.g. X12, HL7, and/or FHIR).
- Proven leadership experience managing and developing data engineering teams, including team growth, skill development, and strategic project execution.
- Experience in Modern Data Technologies like Spark, Databricks, and Kafka.
- Expertise with Microsoft SQL Server (preferred) or other relational databases.
- Experience in building data lakes to support high speed querying by the end users.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Prior Experience with Marketing Automation Platforms, Data Segmentation, and multi-channel campaign measurement will be helpful.
- Familiarity with CI/CD (e.g. Azure pipelines), and IAC (e.g., Terraform) is a plus.
- Experience or knowledge with creating RESTful API's and data visualizations is a plus.
Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Data Engineering Lead - Web3
Posted today
Job Viewed
Job Description
Job Description
Career Renew is recruiting for one of its clients a Data Engineering Lead - Web3 - this is a fully remote role for candidates based in US, Canada or Europe (if they can overlap 5 hours with EST timezone).
As a Data Engineering Lead, you'll take ownership of designing and building the core data infrastructure that underpins our multi-asset, multi-strategy trading and investment platform. You’ll drive the development of real-time data pipelines, core transaction and position processing engines, and intuitive tools to support portfolio management, risk, and research. From designing systems that handle high-throughput, high-fidelity data to implementing tools that surface insights in milliseconds, your work will be instrumental in enabling fast, intelligent decision-making across the firm.
You will thrive in this role if you are a strategic thinker with a proven track record in building 0->1 systems, particularly in highly nuanced environments requiring numerical diligence. You have a passion for working with large datasets and a desire to leverage data to drive business insights and support decision-making. If you’re self-driven, obsessed with making sense of complex datasets and driving organisational change, and love high-agency roles, this is the perfect opportunity for you.
Key Responsibilities
Design, build, and maintain high-throughput data pipelines and infrastructure to support real-time trading, risk, and research workflows
Leverage AI agents as a first-class part of our dev lifecycle while building the guardrails, workflows, and instrumentation to support them at scale—without compromising engineering standards, legibility, or consistency
Collaborate closely with portfolio managers, engineers, and researchers to surface actionable insights from complex, high-volume datasets
Build internal tools and interfaces that make quantitative data intuitive, explorable, and decision-ready
Establish data quality and anomaly detection systems to ensure integrity and reliability at scale
Lead the technical strategy for data infrastructure, including tool selection, system architecture, and long-term roadmap
Champion engineering best practices around code quality, observability, and performance optimization
Own projects end-to-end—from ideation and prototyping to deployment and maintenance—within a fast-moving, autonomous environment
About you
You thrive in less structured environments and are at your best when driving and delivering results with the freedom to build and execute your own plan
You are as excited by starting a project as completing, maintaining, and continually optimizing it
You find the plethora of opportunities to leverage data to drive value for the firm exciting versus overwhelming
Preferred Experience
Experience developing complex software solutions such as rules engines, risk systems, or search engines
Experience building user interfaces for efficient display of quantitative data, metrics, and analysis
Exposure to a quantitative discipline or an industry where timestamps count - finance and crypto are great, but can also be AdTech or Gaming.
Substantive experience building and maintaining high throughput data systems and detecting anomalous data
Excellent Python and SQL skills, some experience with Rust or C++ will also be helpful
Comfort in command-line Linux, Docker, and memory profiling/logs analysis
Hands-on experience from beginning to end of a shipped working product (i.e., you’re an experienced builder)
Proven experience working with a diverse set of technical and non-technical stakeholders
Risk Analyst, Data Engineering & Automation
Posted today
Job Viewed
Job Description
Job Description
Who we are:
Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada.
Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.
We are small enough that you can make an impact within the company and large enough to make an impact in the market.
Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.
About the role:
If you’re ready to take your strategic thinking, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!
As the Analyst, Risk Data Engineering & Automation, you’ll work under the direction of the Director - Risk Analytics, Data Science & Reporting to ingest and deliver new data sets, build automation pipelines and apply RPA and GenAI to dramatically improve the efficiency & effectiveness of how we record, measure, action and solve risk-related (disputes, fraud, AML, collections, etc.) issues.
Oh, and yes, being fun matters. A lot.
What you’ll do:
- Support projects and initiatives across Risk by identifying, aggregating, transforming and integrating the best data possible into proprietary tools, data warehouses, representative models, and predictive forecasts, as required
- Ensure data quality and accuracy by taking ownership for, and management of, Risk data repositories
- Architect and scale automation (RPA, GenAI, pipelines, etc.) and data infrastructure solutions that drive efficient risk management (credit, fraud, merchant) outcomes
- Contribute to the ongoing development and refinement of accurate operational and financial forecasts (stock-flow, time-series, econometric) that predict consumer & channel partner credit and fraud losses across products, segments, and stakeholders
- Support the development and delivery of on-time high-quality Loss Forecasts and Risk (vintage-level performance), Operational (e.g. Collections performance), Lender (e.g., Portfolio Performance), and Financial (e.g., IFRS) dashboards and reports
- Develop and support the delivery of high-quality automated triggers to notify key partners and stakeholders of the most pressing Risk issues needing their attention
- Support the development, implementation, and deployment of advanced risk prediction and scoring models
- Document data sets, tools, and processes (using tools like Confluence) in ways that ensure clarity and a seamless and accurate internal transfer of knowledge
- Partner with cross-functional strategy, reporting and data science teams to understand their goals and ensure they have what’s needed to succeed and thrive
- Participate in strategic projects and initiatives related to risk management
- Foster a team culture rooted in dedication, curiosity, and continuous improvement
Requirements
- University degree in Engineering, Math, or Computer Science
- 2+ years of full-time and/or internship/PEY experience in data engineering, data analytics, dev ops, model ops, applied AI, and/or automation
- 2+ years of applied experience in building data repositories, automating data pipelines and process and/or creating analytic models using tools like dbt, Airflow, Python, and/or Redshift
- Advanced skills in data manipulation, visualization, and modeling, with proficiency in SQL, Looker, and Excel would be highly valued
- Experience working in indirect (B2B2C) lending / consumer credit risk, commercial credit risk, fraud, collections & recoveries and/or in an analytics or automation capacity at a financial institution would be a strong asset
- Strong strategic thinking, judgment, communication (verbal, visual, and written), and advanced problem-solving analytic skills
- Legitimately curious and passionate about finding the “right answer” with a detail-oriented mindset and a “healthy sense of paranoia” about quality
- Highly organized, disciplined and driven, with the ability to manage competing priorities while meeting deadlines.
- Balanced sense of pride & humility with the ability to thrive in a collaborative environment and bring energy and enthusiasm to team culture
Benefits
Winner of Canada’s Most Admired Corporate Culture twice, we offer more than just the basics. Take advantage of:
- An award-winning culture with a collaborative & inclusive team.
- Competitive pay and performance-based bonus.
- Committed to flexible work arrangements, offering hybrid workplace options.
- Comprehensive medical, dental and vision coverage + Lifestyle Account.
- RRSP Matching and Parental Leave Top UP Program.
- In office massage, meditation & workout sessions.
- Virtual events such as Lunch & Learns, company parties, fun team activities and charity initiatives.
- Career learning and development programs.
Next Steps:
If what you just read excites you, we’d like to hear from you! Please submit your application and we’ll contact you if you become selected for a phone interview.
Financeit is an equal opportunity employer. Accommodation is available on request for candidates taking part in all aspects of the selection process.
Be The First To Know
About the latest Data integration Jobs in Canada !
Manager, Product Management-Technical for Data Engineering
Posted today
Job Viewed
Job Description
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Manager, Product Management-Technical for Data Engineering OverviewThe Marketing Technology Solutions team at Mastercard is looking for a Manager, Product Manager-Technical for data to design, develop, and enhance data and analytics solutions that support Mastercard's B2B marketing initiatives. This role is key in building the vision and roadmap for our data environment that will power advanced omni-channel marketing campaigns. As part of a small, collaborative team, you will work with data engineers, marketers and product managers to drive our omni-channel MarTech vision. You would be responsible for the following activities:
• Developing inspiring the data platform/product vision, derived from business needs, market opportunities, and technology trends
• Using the Working Backwards method, decomposes business requirements and customer experiences into features and functions that drive the platform/product roadmap
• Works with Technical Program Managers, developers, and internal customers to define the details behind the business requirements
• Collects and shares user stories with engineering teams
• Acts as the voice of the business customer
Responsibilities
• Owns the working backwards document and vision for feature releases
• Makes use of research, user studies, metrics and competitive analysis to understand the platform and business needs
• Creates vision with lead engineer and business partners to show impact and value of new data platform
• Compares features for competitive review to inform prioritization within a platform product release and makes trade-offs
• Identifies innovations or performs test and learn experiments to create features that add more business and customer value for a platform product
• Exhibits expertise within data platform feature area and coordinates with interdependent teams
• Digests business customer requirements (user stories, use cases) and platform requirements for a platform feature set
• Determines release goals for the platform and prioritizes assigned features according to business and platform value, adjusting throughout implementation as needed
• Continuously monitors feature development and communicates delays to leadership
• Supports and participates in post-launch reviews and ensures feedback is reincorporated into the feature
• Develops and implements new metrics into measurement techniques and works with development teams to develop reports to monitor them
• Owns and manages product documentation; enables self-service support and/or works to reduce overhead
• Mentoring team members
All About You
• Passion for marketing and customer impact
• A strong problem-solver, who uses both quantitative and qualitative methods to get things done
• Strong communication and influence skills to drive results
• 5 years experience in product management and creating features that make an impact
• Experience in building data platforms that can be leveraged for reporting and analytics
• Curious about problems and a want to go deep Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.