Shape the Future of AI & Data with UsAt Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise inmachine learning, data engineering,andanalyticson Google Cloud Platform. By partnering with us, clients future‑proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.Your MissionData Engineers at Datatonic work across a wide range of projects, helping clients unlock the full potential of the Modern Data Stack. You’ll bring expertise in our technologies of choice—dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, Pub/Sub—and apply them to solve real client challenges. In this role, you’ll collaborate closely with a Delivery Manager, support project teams, and make hands‑on contributions to the codebase where needed.What You’ll DoFoundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver cutting-edge, impactful solutions for clients.Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.Build Scalable Data Pipelines: Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:Transforming, testing, deploying, and documenting data.Understanding data modeling techniques.Optimizing and storing data for warehouse technologies.Manage Cloud Infrastructure: Architect, maintain, and troubleshoot cloud‑based infrastructure to ensure high availability and performance.Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker,



mastering their technologies and building a network with their engineers.Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.What You’ll BringExperience: 4+ years in a data‑related role (e.G., Data Engineer, Data Analyst, Analytics Engineer).Technical Expertise: Hands‑on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.Strong Programming Skills: Expertise in Python and/or Java, with proficiency in SQL.Experience in Data Engineering: 5+ years designing and building scalable data solutions.High‑Quality Code Standards: Ability to write tested, resilient, well‑documented code.Cloud Computing Experience: Experience building and maintaining cloud infrastructure (GCP or AWS is a plus).Problem‑Solving Mindset: Ability to take ownership and drive projects from concept to completion.Project Management: Natural ability to manage multiple initiatives and clients simultaneously.SQL Proficiency: Skilled in writing analytical SQL, and understanding difference between working and performant SQL.Business Translation: Experience translating business requirements into technical solutions.Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.Leadership: Experience providing technical guidance and direction on projects.Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability,



and performance.Bonus points if you havedbt Developer certificationGoogle Cloud Professional Data Engineer certificationSnowflake SnowPro certificationExperience with Scrum methodologyClient‑Facing Role: Prior experience in a client‑facing positionAPI Development Experience: Experience building scalable REST APIs using Python or similar technologies.What’s in It for YouWe believe in empowering our team to thrive, with benefits including:20 days of paid vacation per calendar yearPublic Holidays for your Province of Residence5 Wellness days (sickness, personal time, mental health)5 Lifestyle days (religious events, volunteer day, sick day)Matching Group Retirement Savings Plan after 3 monthsCompetitive Group Insurance plan on Day 1 – individual premium paid 100%!Virtual Medicine and Family Assistance Program – 100% employer‑paid!Home office budget – We are 100% remote!CAD $70/month for internet/phone expensesCAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1Company‑supplied MacBook Pro or AirCAD $400/year for books, relevant app subscriptions or an e‑reader.Opportunities for paid certificationsOpportunities for professional and personal learning through Google and other training programsRegular company off‑sites and meetupsWhy DatatonicDatatonic is a UK‑based company with an Americas division located in Canada. The Canadian team operates remotely, with members distributed across North and South America. This role is open to candidates located anywhere in Canada.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged – it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Salary: CAD 110,000 – CAD 140,000Are you ready to make an impactApply now and take your career to the next level.#J-18808-Ljbffr

📌 Senior Data Engineer - C$110,000 - C$140,000 A Year - Remote (Winnipeg)
🏢 Datatonic
📍 Winnipeg