Senior Data Engineer – ML Platform

Sovendus GmbH; Innsbruck; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

30 Days of Annual Leave

Workation

External Training

Zusammenfassung

Sovendus GmbH is looking for an experienced data engineer to join our team in Innsbruck, Austria. You will be part of a modern, AWS cloud stack environment, focusing on building data layers for marketing solutions and enhancing AI capabilities.

The ideal candidate has over 5 years of experience, fluent programming skills in Python, and advanced SQL knowledge. You’ll help shape our data engineering practices and contribute to innovative marketing projects.

We offer flexible working options, external training opportunities, and a generous annual leave policy.

Qualifikationen

• 5+ years of experience in data engineering or ML platform work.
• Strong Python code writing for production-grade applications.
• Fluent in English for daily collaboration.
• Experience with data lake ecosystems is a plus.

Aufgaben

• Work in a modern, cloud-only AWS stack.
• Shape Kafka backbone for user journey event processing.
• Build the data layer for our recommendation engine.
• Drive version upgrades and reduce tech debt.

Kenntnisse

Python programming

Advanced SQL

Cloud experience (AWS preferred)

Data engineering

MLOps tools (Airflow, SageMaker)

Tools

Spark

Delta Lake

Iceberg

Terraform

Jobbeschreibung

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)

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

REMOTE WORK

• Workation
• External Training
• 30 Days of Annual Leave