Professional Galaxy AB

Sneha Sawant

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&#39;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 2026-06-30Application Deadline: 2025-11-29Please apply directly through our system with:- Your updated CV- Availability to start the assignmentIn 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.