(Senior) Data Engineer*in (f/m/d) at Trusted Shops
Köln, , Germany -
Full Time


Start Date

Immediate

Expiry Date

27 Sep, 25

Salary

0.0

Posted On

28 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Transformation, German, Glue, Data Privacy, English, Athena, Airflow, Python, Sql, Bash, Communication Skills

Industry

Information Technology/IT

Description

DEINE AUFGABEN

Trusted Shops develops SaaS solutions for over 30 million users and 30.000 companies all over Europe. Our product suite includes products such as the Trustmark, buyer protection and the experience feedback platform eTrusted. With our products we pursue the mission to enable trust between people and businesses in the digital age over the last 20 years.
The Data Platform Team contributes to this mission by providing the foundation of data-driven work, both for our colleagues, and for our customers. Ranging from metrics that measure our product usage and success, to facts and figures that provide guidance to our customers to improve their business.
All these outcomes require quality data, and that’s why we are looking for a Data Engineer that thrives in a creative, changing environment, loves to build great products, and is passionate about positively impacting the user experience.
You will support a diverse team. We have Data Engineers, Cloud Engineers, Analysts, and support from a Product Owner and Agile Coach, working as a cross-functional team.
We believe in the “You build it, you own it” philosophy, where you take charge of shepherding changes through every stage until they go live in production.

REQUIREMENTS :

  • You are familiar with ELT processes for data transformation and have worked with an orchestration framework such as Luigi, Airflow, Prefect or Dagster.
  • You are familiar with the most common data formats (CSV, JSON, Parquet, Iceberg) and typical (data) interfaces.
  • You have high level of proficiency with Python and SQL. Terraform and bash are a plus.
  • Knowledge of AWS services such as Athena, Glue, Lambda, CloudWatch is a plus.
  • Actively participate in data engineering discussions with the team, our Data Engineering Meetups and company Tech Talks.
  • You have experience with concepts such as data lineage, data quality management, data privacy (GDPR), observability and incident management.
  • Extensive knowledge of software engineering principles
  • You have gathered 3 or more years of experience as a Data Engineer.
  • You collaborate based on mutual respect.
  • You have excellent communication skills in English. German is a plus.

WHAT WE OFFER YOU

  • New Work: work up to 100% mobile (or on-site/hybrid) within Germany and take advantage of our flexible model
  • MacBook Pro
  • 27 vacation days + 3.5 additional days off at Christmas, New Year’s Eve and Carnival
  • Buddy programme (an experienced trustee at your side)
  • Individual training opportunities
  • Events (Team Events, Unit Events, etc.)
  • Health Pass (free online and offline sports, fitness and health courses)
  • An international and diverse environment - colleagues from over 40 nations who work for 13 markets in 5 offices across Europe
  • A unique company spirit - an open error culture, enthusiasm for good results, and giving every individual room for growth
    BUILD A COMMUNITY OF TRUST WITH US - #cometotrust
    Not sure if you are what we are looking for? Apply!
    At Trusted Shops, we are interested in you as a person - whether you fit in with us is
    independent of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. Trusted Shops is clearly committed to diversity and against discrimination.
Responsibilities
  • You build and present standard interfaces to ingest, transform and serve data within the Data Platform
  • You take ownership of implementing, monitoring, and maintaining data pipelines.
  • You ensure data quality and transparency of our data, using quality checks, monitoring, and alerting across the entire data lifecycle.
  • You collaborate with the team to identify opportunities which further innovate the Data Platform, leveraging existing or new technologies.
  • You onboard our data providers, lowering the barrier to provide data to our platform.
  • You communicate with stakeholders and team members to identify their needs and can translate these requirements into tangible outcomes.
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