(Senior) Data Engineer*in (f/m/d)

Trusted Shops; Köln; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

Trusted Shops, a leader in SaaS solutions, is looking for a passionate Data Engineer in Köln. Join a diverse team to enhance our Data Platform using tools like Python, SQL, and AWS, while enjoying flexible work arrangements and a supportive culture that emphasizes personal growth.

Leistungen

27 vacation days plus 3.5 additional days off during holidays

MacBook Pro

Flexible work arrangements including remote options

Buddy program and personalized training

Various company events and health initiatives

Qualifikationen

• At least 3 years of experience as a Data Engineer.
• Experience with ELT processes and orchestration frameworks like Luigi, Airflow, Prefect, or Dagster.
• Proficiency in Python and SQL.

Aufgaben

• You build and present interfaces for data ingestion, transformation, and delivery.
• Monitor and maintain data pipelines ensuring quality and transparency.
• Collaborate to innovate the Data Platform.

Kenntnisse

ELT processes

Python

SQL

Data quality management

Communication

Ausbildung

3 years of experience as a Data Engineer

Tools

Terraform

AWS services

Luigi

Airflow

Jobbeschreibung

Trusted Shops

Köln

ab sofort / asap

Deine Aufgaben

Trusted Shops develops SaaS solutions for over 30 million users and 30 companies across Europe. Our product suite includes Trustmark, buyer protection, and the experience feedback platform eTrusted. Our mission over the past 20 years is to enable trust between people and businesses in the digital age.

The Data Platform Team supports this mission by providing a foundation for data-driven work, from metrics measuring product success to data guiding our customers to improve their business.

We are seeking a Data Engineer who thrives in a creative, dynamic environment, loves building impactful products, and is passionate about enhancing user experience.

You will work with a diverse, cross-functional team including Data Engineers, Cloud Engineers, Analysts, a Product Owner, and an Agile Coach.

We follow the 'You build it, you own it' philosophy, taking responsibility for changes through all stages until deployment.

What will you be working on?

Your role involves writing Python and SQL, with potential use of Terraform. You will support and implement data solutions in a cloud environment (AWS).

Our tools include Airbyte, AWS Kinesis Firehose, Dagster, DuckDB, Luigi, Iceberg, Metabase, among others, to build services, APIs, and orchestrate data pipelines from source to high-quality datasets. We are currently focused on building the Analytics Layer, an API providing aggregated datasets with low latency, and your help will be key in scaling these solutions.

Main tasks and responsibilities:

1. You build and present interfaces for data ingestion, transformation, and delivery within the Data Platform.
2. You own the implementation, monitoring, and maintenance of data pipelines.
3. You ensure data quality and transparency through checks, monitoring, and alerts across the data lifecycle.
4. You collaborate to innovate the Data Platform using new or existing technologies.
5. You onboard data providers to facilitate data sharing.
6. You communicate with stakeholders to translate needs into tangible outcomes.

Why join Trusted Shops?

• Personal Development: Support from your Engineering Manager for growth and success.
• Health & Wellbeing: Participate in health activities and earn extra vacation days for health goals.
• Continuous Learning: Use your "Self Education Day" monthly for personal growth, tech talks, or reading.
• Inclusive Culture: Flexible work options and focus on work-life balance.

A typical day as a (Senior) Data Engineer at Trusted Shops:

• Start from home or office.
• Review tasks in JIRA and select a project or task.
• Join daily standup for updates and support.
• Work independently or collaboratively.
• Enjoy flexible lunch hours and team outings.
• Participate in team activities or self-education days.

Dein Profil

Requirements:

• Experience with ELT processes and orchestration frameworks like Luigi, Airflow, Prefect, or Dagster.
• Proficiency in common data formats (CSV, JSON, Parquet, Iceberg) and interfaces.
• Strong skills in Python and SQL; knowledge of Terraform and Bash is a plus.
• Knowledge of AWS services such as Athena, Glue, Lambda, CloudWatch is advantageous.
• Participation in data engineering discussions, meetups, and tech talks.
• Understanding of data lineage, quality management, privacy (GDPR), observability, and incident management.
• Extensive software engineering principles knowledge.
• At least 3 years of experience as a Data Engineer.
• Collaborative spirit and good communication skills in English; German is a plus.

What we offer you

• Flexible work arrangements including remote options within Germany.
• MacBook Pro.
• 27 vacation days plus 3.5 additional days off during holidays.
• Buddy program and personalized training.
• Various company events and health initiatives.
• International, diverse environment with colleagues from over 40 nations.
• Supportive company culture emphasizing growth and innovation.