Descartes Unites the People and Technology that Move the World

The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex. By combining innovative technology, powerful trade intelligence and the reach of our network, Descartes helps get goods, information, transportation assets, and people where they’re needed, when they’re needed.

We’re one of the most broadly deployed logistics and supply chain technology companies in the world. More than 26,000 customers around the globe use our cloud‑based solutions to transform the way they move inventory and information to enhance productivity, better serve customers, thrive competitively, keep pace with evolving regulations, and respond to rapidly changing market conditions. Descartes is publicly traded (Nasdaq:DSGX, TSX:DSG) with headquarters in Waterloo, Ontario, Canada, and offices and partners around the world. With record financial performance for more than 16 years, we lead the industry in innovation investment. Every day, logistics service providers, manufacturers, retailers, distributors, and other logistics‑intensive businesses of all sizes rely on our scale, stability, and comprehensive solution footprint to move what’s most key to them.

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We’re growing fast and invite you to join our amazing team.

As a Senior Data Engineer, you will set the technical direction for a governed, scalable data platform that powers BI, product APIs, ML models, and customer‑facing AI assistants. You will lead our shift from ETL to ELT and advance our Data Mesh model, ensuring data products are well‑modeled, contract‑backed, reliable, and built to scale.





Outcomes - What Success Looks Like

- Lead our ETL-to-ELT migration , moving transformation logic from PySpark pipelines into version‑controlled SQL and dbt without disrupting existing consumers.
- Advance Data Mesh , establishing clear domain ownership, enforceable data contracts, safe schema evolution, and self‑service governance.
- Own and mature dbt , including model architecture, contracts, testing, lineage, documentation, and CI/CD.
- Strengthen our semantic layer , ensuring critical metrics are consistently defined and delivered at the correct grain across BI, APIs, ML, and AI.
- Improve platform reliability and engineering standards through stronger data quality, observability, testing, security, and production readiness.
- Raise team capability and delivery predictability through technical leadership, mentorship, planning, and AI‑assisted development practices.

Skills & Competencies - How the Work Gets Done

You are a hands‑on senior data engineer who can lead through technical expertise and influence. You bring:

- Practical Data Mesh experience with domain‑owned data products, enforceable contracts, federated governance, and schema evolution.
- Experience implementing ELT , ideally including migration from an existing ETL architecture.
- Deep dbt, SQL, dimensional modeling,



and data modeling expertise, including grain, contracts, testing, lineage, and performance optimization.
- Experience with PySpark and cloud data warehouses such as Redshift, Snowflake, or BigQuery.
- Experience building scalable data platforms using technologies such as AWS, S3, Glue, Athena, Airflow/Dagster, Kafka/SQS, Terraform, and CI/CD .
- Strong data quality, testing, security, observability, and production engineering practices.
- Ability to translate business requirements into robust data products and communicate technical trade‑offs across Product, Analytics, BI, and Engineering.
- Experience mentoring engineers, setting technical standards, and using AI development tools such as GitHub Copilot or Claude Code .
- Bonus: experience with semantic/metrics layers, ML or LLM data products, BI platforms, or FastAPI.

Culture Add: TEAM Values

We value team members who communicate with transparency, sharing information openly and building trust across functions. You bring excellence and expertise to your craft, holding a high bar for quality while continuously improving your skills. You demonstrate accountability by owning outcomes, following through on commitments, and taking responsibility for results. You are driven by metrics, using data and experimentation to inform decisions and deliver measurable impact.

Aptitudes

- Smart: Able to quickly understand complex systems, connect ideas, and make sound judgments.
- Curious: Actively seeks to understand customer problems, emerging technologies, and better ways of working.
- Coachable: Open to feedback, willing to adapt, and c

📌 Senior Data Engineer (London)
🏢 The Descartes Systems Group
📍 London