Professional Galaxy is looking for a Back End Developer / Engineer for our client.
About the team The Analytics Platform product area (APPA) is dedicated to empowering every internal user to rapidly make data-driven decisions backed by high-quality insights. Sequel is the team responsible for the tooling and best practices around transforming raw data to consumable analytics through SQL. The team owns the BigQueryRunner (BQR) tool, in-house built, and provides platform support for working with dbt.
The customers of the team are primarily Analytics Engineers (AEs) and Data Scientists (DSs), and with the focus on T-shaping we are also seeing Engineers increasingly adopting the tools the team offers.
The team is tasked with the following: -Maintain the healthy operation of the fleet of scheduled SQL pipelines to ensure proper version management, cost efficiency, security. -Keep the tools relevant and useful through bugs fixing and new features implementation. -Support teams that need to migrate their pipelines from non-golden technologies to dbt by building the expected automations and assistance.
What will the person do? -Help manage the fleet of dbt: ensure undisrupted operations (scheduling and execution), up-to-date functionalities and features. -Help deliver an AI-assisted migration from BigQueryRunner (in-house SQL transformation and scheduling tool) to dbt, powered by Honk, client's agentic coding system. -Contribute to building data verification loops (tests, lineage, contract checks) that enable agentic and safe migration from BQ Runner to dbt, as well as other changes to data pipelines. -Help explore open-source and commercial SQL transformation options, as alternatives to dbt-core and perform light-weight technical evaluations and prototyping.
A successful candidate: Skills -Fluent in Python, bash scripting, (Java) -Deep knowledge of the modern analytics data stack (SQL, dbt or other tooling for data pipelines). -Deep and multi-year knowledge of SQL-like languages and data warehouses like BigQuery. -Experience with employing AI code assistants to increase own efficiency. -Familiar with the principles of AI engineering (building products on top of foundational models) -Hands on experience with agentic systems is a huge plus.
Team fit: -Bias for action, ability to keep a high delivery pace and energy. -Excellent communication and collaboration skills in distributed teams. -Able to self-initiate and work in a high-ambiguity environment where understanding and shaping the direction is expected.
Duration: 2025-12-01 to 2026-06-30
Application Deadline: 2025-11-29
Please apply directly through our system with:
- Your updated CV
- Availability to start the assignment
In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employment, education and personal qualities.
Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.
Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.