About this role
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 into consumable analytics through SQL. The team owns the BigQueryRunner (BQR) tool, which is built in-house, 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, and security.
- Keep the tools relevant and useful through bug fixing and new feature 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, the 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 lightweight 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).
- Extensive multi-year experience with SQL-like languages and data warehouses like BigQuery.
- Experience employing AI code assistants to increase personal efficiency.
- Familiarity with the principles of AI engineering (building products on top of foundational models).
- Hands-on experience with agentic systems is a significant plus.
**Team fit:**
- Bias for action, ability to maintain 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 your 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 via email. All applications must be submitted through the portal to be valid.
**Offer continuously:** Please note that for this role, we offer continuously. This means that we may remove assignments before the deadline. If you are interested, we recommend that you apply immediately.