Senior Data Engineer
About The Position
At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on 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. Data 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. Our Data Engineers combine strong technical skills with a client-focused mindset, ensuring that data solutions are not only well-engineered but also deliver measurable impact.
Requirements
- 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).
- Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.
- Expertise in Python and/or Java, with proficiency in SQL.
- 5+ years of experience in designing and building scalable data solutions.
- Ability to write tested, resilient, and well-documented code.
- Experience in building and maintaining cloud infrastructure (GCP or AWS is a plus).
- Ability to take ownership and drive projects from concept to completion.
- Natural ability to manage multiple initiatives and clients simultaneously.
- Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.
- Experience in translating business requirements into technical solutions.
- Ability to communicate complex ideas simply to a wide range of audiences.
- Experience in providing technical guidance and direction on projects.
- Complete alignment with our culture of transparency, empathy, accountability, and performance.
Nice To Haves
- dbt Developer certification
- Google Cloud Professional Data Engineer certification
- Snowflake SnowPro certification
- Experience with Scrum methodology
- Prior experience in a client-facing position
- Experience building scalable REST APIs using Python or similar technologies.
Responsibilities
- Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.
- Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.
- Design, develop, and optimize robust data pipelines, making data easily accessible for visualization and machine learning applications.
- Design and implement new data warehouse and data mart solutions, including: Transforming, testing, deploying, and documenting data, Understanding data modeling techniques, Optimising and storing data for warehouse technologies.
- Architect, maintain, and troubleshoot cloud-based infrastructure to ensure high availability and performance.
- Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.
- Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.
- Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.
Benefits
- 20 days of paid vacation per calendar year
- Public Holidays for your Province of Residence
- 5 Wellness days (sickness, personal time, mental health)
- 5 Lifestyle days (religious events, volunteer day, sick day)
- Matching Group Retirement Savings Plan after 3 months
- Competitive 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 expenses
- CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1
- Company-supplied MacBook Pro or Air
- CAD $400/year for books, relevant app subscriptions or an e-reader.
- Opportunities for paid certifications
- Opportunities for professional and personal learning through Google and other training programs
- Regular company off-sites and meetups
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
