Data Engineer (m|w|d)

Stellenbeschreibung:

At idealo, data guides every decision. To support this, we offer a compliant, scalable, and cost-efficient data platform within the AWS ecosystem – enabling insights and establishing company-wide standards.

The position as Data Engineer (m|f|d) is advertised as full-time or part-time.

Responsibilities

You will be part of the B2C subteam – one of three subteams in our 11-person data engineering unit – where you design and implement new processes that enrich our data and ensure high quality for downstream consumers.
Working closely across all three cross-functional subteams, each aligned with a key business domain, you will take end-to-end ownership of (data) products and help shape data into a strategic asset at idealo.
In this role, you will be jointly responsible for designing, developing, implementing, and maintaining (data) products – including automated filtering of data streams, error detection, and plausibility checks.
As part of our supporting functions, we deliver reliable business KPIs and actionable insights that drive key decisions and create real business impact.
Data correctness is a top priority at idealo – and we play a central role in achieving it. We enable technical and operational solutions that ensure data quality all the way to the end customer.
We believe in ownership: you’ll take responsibility across the entire software engineering workflow and act as an advocate for (data) product quality – both within and beyond your immediate team. You bring a collaborative mindset, care about how we work together, and enjoy helping others grow while growing yourself.

Job Requirements

You bring at least 3-4 years of hands‑on experience in data engineering or a related field – and are ready to grow into more ownership, technical maturity, and collaborative responsibility.
Completed studies in the field of computer science, STEM, or a comparable course of study.
You have a strong foundation in data structures and algorithms.
You bring ideas from all areas, including distributed computing, large‑scale system design, security, networking and data storage.
Solid programming skills in languages such as Python, Java or similar.
Strong knowledge in SQL, relational databases, Apache Spark or comparable technologies.
You have in‑depth knowledge of cloud providers AWS, GCP, or Azure as well as IAC frameworks (e.g., Terraform, AWS CDK and AWS CloudFormation).
ETL/ELT tools – experience with tools such as Airbyte or dbt.

Nice to have

Experience with Apache Airflow or other workflow orchestrators.
Familiarity with data privacy regulations (e.g., GDPR) and best practices for ensuring compliance when handling sensitive data.

Benefits

30 days vacation, with the option to "buy" an additional 15 days per year by converting your salary.
Personal development support: Learning Hub, eLearning (e.g., Udemy), coaching & mediation, and an additional learning & development budget.
Office perks: free organic breakfast, vegan/vegetarian lunch, coffee, lemonades, after‑work beer, foosball, rooftop terrace with a view of Berlin.
Free counseling and support for professional, private, family, and health matters.
Full flexibility on commute: job bike or Deutschlandticket.
Fitness & sports options (Urban Sports or Gympass membership).
Company events, team events, and organized moments of connection throughout the year.