Senior Data Engineer- ML Platform
July | Senior Engineer| Remoto | Spain
STRONG NETWORK. STRONG TEAM.
Become part of one of Europe's leading networks for checkout and digital marketing services. More than 3,000 European partner shops trust our high-quality e-commerce solutions to enhance their business. How? By innovatively integrating artificial intelligence into online marketing. Now it's your turn: Enrich our teams with your ideas, energy, and personality.
RESPONSIBILITIES
- Work in a modern, cloud-only AWS stack — EMR, EKS, S3, Athena/Glue, SageMaker, DynamoDB — orchestrated with Airflow and managed as code with Terraform, with a clear path to bringing every remaining piece fully onto this stack.
- Shape the Kafka backbone that carries user-journey events from upstream services to the data lake, ML training, and analytics consumers.
- Move data at scale with Spark SQL on Delta Lake and Apache Iceberg — ACID storage, time-travel, and concurrent-write reliability on top of S3.
- Build the data layer for our recommendation engine — Athena schemas and views for model training, plus the real-time data assets (Redis, DynamoDB) that the recommendation service reads at request time.
- Push AI-assisted development and operations further — we invest heavily in AI tooling for development, code review, documentation and operations, and we're actively deepening that. You'll help shape how the team works.
- Steward the platform's long-term health — drive version upgrades, reduce tech debt, and keep the stack on the leading edge.
YOUR PROFILE
- 5+ years of experience in data engineering or ML platform work in production environments
- You write strong Python code, focused on production-grade applications (not just notebooks or scripts)
- Advanced SQL (Athena / Spark SQL; SQL-first data transformations)
- Kafka experience (producers, consumers, stream processing)
- Solid Cloud experience (AWS preferred, or GCP/Azure)
- Fluent English for daily collaboration within an international team.
- Based in Spain with valid work authorization
It´s a plus if you have :
- Spark & data lake ecosystem — Spark/PySpark (job structuring & tuning), plus lakehouse formats like Delta Lake or Iceberg
- Orchestration & MLOps — Airflow, SageMaker or similar tools
- ML data workflows — experience with feature pipelines, training datasets, and online serving
MORE REASONS FOR SOVENDUS
**Remote Work
Workation
External Training
30 Days of Annual Leave
WHO WE ARE**
1 Team. 18 Nationalities. 50% Women & 50% Men. Hundreds of Opportunities!
Our story began in 2008 in Germany: Oliver Stoll founded the company "Gutschein-Connection". This marked the start of successful growth that has made us the leading network for vouchers and special offers. In 2011, the company was renamed Sovendus, and today, Sovendus has 145 employees who have made this tremendous growth possible. This is also due to our great diversity: our teams consist of roughly equal numbers of women and men, with a total of 18 nationalities and an average age of 35. This includes not only permanent employees but also working students and interns.
IT'S A MATCH?
Do you think you’re a great fit for us and we’re a great fit for you?
Corina Corti Maderna
People & Culture Manager