Back End Developer / Engineer

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.