Description
We are seeking a Data engineer to join our commerce platform team, focusing on the revenue protection - misuse domain. This role is instrumental in designing and building core capabilities to identify misuse and enforce prevention across every plan and service. You will work closely with product, engineering, and business teams and other stakeholders to ensure a stable platform to manage effectively plan misuse.
What You'll Do
- Maintain and improve data pipelines, including SOX-compliant processes.
- Design and build robust data pipelines using DBT and Scio.
- Collaborate with product and engineering to enable a strong portfolio for addressing plan misuse at Spotify.
- Work with product and business stakeholders to understand data requirements and ensure alignment with current landscape and technical strategy.
- Continuously assess and improve data pipelines and systems to ensure efficiency and reliability.
- Evaluate and implement Spotify standard technologies to advance the team's backend, data, and ML capabilities.
Who You Are
- Proven experience in data engineering, including creating reliable, efficient, and scalable data pipelines using DBT and Scio.
- Proficient in SQL and programming languages like Scala or Python.
- Experience in building and maintaining scalable backend systems using Java.
- Knowledge of cloud-based data platforms (AWS, GCP, or Azure).
- Strong collaboration and communication skills with technical and non-technical stakeholders.
- Strong problem-solving and critical thinking skills
- Familiarity with A/B testing frameworks and experimentation platforms.
Where You'll Be
- This role is based in London, UK, or Stockholm, Sweden.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
- This team operates within the Central European and GMT time zone for collaboration.
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