The world’s most popular audio streaming subscription service is looking for a Back End Engineer to join the band in a consultant assignment. The client has transformed music listening forever when launched in 2008.

Period: 2026-01-05 to 2026-07-04 (full-time), with a possibility of extension.

About the role

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 you'll 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.

Who you are

• 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.

We are Market Partner

Market Partner is proud to be an equal opportunity employer. You are welcome to our community regardless of who you are, no matter where you come from, or what you look like. We apply ongoing selection and may fill the position as soon as we find the right candidate.