Data Engineer (f/m/d)

nebenan.de; Berlin; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

Meaningful job and impact

Collaborative team environment

Insights into the process of a social,

SpenditCard benefit

30 days vacation

Zusammenfassung

Good Hood GmbH in Berlin is seeking a Data Engineer to join our Information and AI Platform and own data pipelines end-to-end—from data modeling to experimentation to production. You will collaborate with product and backend teams to translate data needs into robust models, ensure data governance, and enable self-service analytics and AI agents with privacy by design.

Our stack includes dbt, Snowflake, Dagster, SQL, Python, AWS, and Docker; we offer a hybrid setup, 30 days vacation, and ongoing

Qualifikationen

• Experience in a data engineering role or similar with a solid understanding of data warehousing and ETL concepts.
• Strong SQL skills and hands-on experience running dbt models in production.
• Experience with an orchestration tool — we use Dagster.
• You’ve built and run data or information infrastructure that other teams depend on.
• You’re comfortable working directly with backend and infrastructure engineers as well as non-technical stakeholders, and can translate between the two.
• Experience with a cloud data warehouse, ideally Snowflake, and a cloud provider, ideally AWS.
• You’re comfortable with version control, ideally Git.
• You have experience working with AI coding tools like Claude Code, and know how to use them to move faster without cutting corners.
• You’re sound on GDPR and Article 9 in practice — you know how to design compliant data access for both people and agents.

Aufgaben

• Own our pipelines end-to-end, from stakeholder metric definition through dbt modeling, QA, and A/B testing, to Dagster scheduling and production.
• Move us from reports to self-service systems that deliver reliable answers for AI agents and humans.
• Keep steering metrics real and governed as code.
• Run the relevance and content pipelines that reflect real life.
• Collaborate with product, engineering, and other stakeholders to translate data needs into production-ready models.
• Maintain data governance, quality, security and compliance.
• Support ML initiatives and help improve recommendations and other AI workflows.

Kenntnisse

SQL

dbt

Dagster

Python

AWS

Snowflake

Git

Claude Code

GDPR

Tools

Snowflake

Dagster

dbt

AWS

Git

Docker

VS Code

Jobbeschreibung

Your mission

We’re looking for a Data Engineer to join our Information and AI Platform and own our data pipelines end to end — from data modeling to experimentation to production.

• Own our pipelines end-to-end, from stakeholder metric definition through dbt modeling, QA, and A/B testing, to Dagster scheduling and production.
• Move us from people asking for reports to a system that answers — self-service for coworkers, reliable answers for AI agents, a self-describing warehouse.
• Keep our steering metrics real and trusted as governed metrics-as-code.
• Run the relevance and content pipelines that keep the platform a reflection of real life.
• Work closely with Product, engineering, and other stakeholders to translate their data needs into models that hold up in production.
• Keep our data governance in good shape in terms of quality, security, and compliance.
• Work with the team to improve personalized recommendations and other ML algorithms.

Our stack: dbt, Snowflake, MotherDuck, Dagster, SQL, Python, AWS, GitHub Actions, Docker, VS Code

Your profile

Must-haves

• Experience in a data engineering role or similar, with a solid understanding of data warehousing and ETL concepts.
• Strong SQL skills and hands‑on experience running dbt models in production.
• Experience with an orchestration tool — we use Dagster.
• You’ve built and run data or information infrastructure that other teams depend on.
• You’re comfortable working directly with backend and infrastructure engineers as well as non-technical stakeholders, and can translate between the two.
• Experience with a cloud data warehouse, ideally Snowflake, and a cloud provider, ideally AWS.
• You’re comfortable with version control, ideally Git.
• You have experience working with AI coding tools like Claude Code, and know how to use them to move faster without cutting corners.
• You’re sound on GDPR and Article 9 in practice — you know how to design compliant data access for both people and agents.

Nice-to-haves

• You’ve taken a ranking or recommendation pipeline through to production.
• You know your way around ML concepts — you don’t need to build models yourself, but understanding the basics helps you work well with our ML engineers.
• You have experience or is interested in working with data agents and making them reliable.
• You’re fluent in modern data and AI tooling and agentic systems, and understand why curation and semantic context decide whether agents can be trusted.
• You’ve led or mentored other engineers, or you’re ready to grow into that, with support from our Leadership & Coaching guild.

And You’re The Kind Of Person Who…

• Communicates clearly, and can explain complex data concepts to technical and non-technical people alike.
• Keeps up with new tools and trends in the field, and likes sharing what they learn with the team.
• Values diversity, collaboration, and inclusion, and helps build a team where everyone feels welcome.
• Is a systems builder at heart — energized by building what makes everyone else faster and more certain, not by owning a queue.
• Takes ownership of unsolved problems, like safe AI access to information, rather than waiting for someone else to solve them.

What We Offer

• A hybrid work model that combines at least 2 office days and remote work
• A meaningful job – we’re creating a great product with real added value for the community
• Work in a cheerful and experienced team that exchanges ideas and learns from each other
• Insights into the entire work process of our social startup and the nebenan.de foundation
• Responsibility and great opportunities to actively contribute
• Your nebenan.de SpenditCard – you’ll receive an additional income of 35 Euros per month, which you can use for things of your choice
• 30 days of vacation per year – we also offer the possibility of workation models and a sabbatical

About Us

At Good Hood GmbH we help people to feel at home in their urban environment again. With our platform nebenan.de we enable people to connect and support each other in daily life so strangers become neighbours. We believe that by revitalising urban neighbourhoods and encouraging exchange, shared activities and mutual assistance among neighbours we can contribute to a positive change in society towards a more humane, sustainable and secure living environment that offers a higher quality of life for everyone.

Diversity means collaboration – at nebenan.de we are happy about every dimension of diversity that enriches our team. We live equal opportunities and support them.