Data Engineer (f/m/d)
Moonfare · Berlin
Skills in this posting
Extracted from the posting text by the instrument — the demand side, read literally.
The posting
Join the team rewriting the rules in private markets.
Moonfare delivers what few others can: the highly sought-after funds and hidden-gem investments that go beyond what most private banks offer. Every opportunity is subjected to a ruthless vetting process; the bar is unforgivingly high. The result? Institutional-quality portfolios for investors who demand more.
Our team combines finance veterans with talent from tech, consulting, law and industries you’d never expect. Headquartered in Berlin, we operate from eight offices across Europe, the US and Asia.
If you're ready to build what's next in private markets, let's talk.
Data Engineer (m/f/d)
We're looking for a Data Engineer who has hands-on experience integrating databases and external APIs, understands AWS infrastructure, and is comfortable working with tools like DBT to model and transform data. You'll help build and scale our data platform from ingestion through to the warehouse layer, powering AI Agents, BI, and business decisions across the organization.
You will
Build and maintain data pipelines from ingestion through to storage
Take end-to-end ownership of pipeline components
Model data using data lake and warehouse concepts, and contribute to performance improvements (partitioning, file formats, tuning)
Apply data governance and security practices in your work (least-privilege IAM, encryption, PII handling)
Support the team with data quality, coding consistency and data availability
Collaborate with analysts and stakeholders to translate requirements into working data solutions
Identify, formulate, and propose improvements to your own and your team’s practices
The Next Moonfarian
2–4 years of hands-on experience building and maintaining data pipelines in production
Strong Python and advanced SQL skills
Basic Scala experience, or a willingness to pick it up
If not, excellent domain of Java or C#
Familiarity with DBT (models, tests, documentation)
Solid working knowledge of AWS or another major cloud provider
Experience with relational databases and data warehouses
Confident in Git, CI/CD, and modern deployment practices
Practical experience with Docker
Solution-oriented, strong attention to detail, and open to feedback and mentorship
Nice to have
Experience with Apache Spark or a similar distributed processing framework
Working knowledge of K8
Bash scripting
Flyway or similar SQL migration tools
If you feel you do not meet all of the requirements, we still encourage you to apply!
Our Values
Our clients come first, Moonfare comes second, and we prioritise ourselves third - Client-Centric Focus. Putting clients first means creating value for them is essential. Placing Moonfare second signifies that our individual professional future at Moonfare depends on the company's commercial success. Prioritising ourselves third reflects our humility in putting clients and Moonfare before personal interests.
We pursue excellence and honor our promises - Commitment to Excellence. We hold ourselves to the highest standards, taking responsibility for our failures, and celebrating our successes. We commit to deadlines and stick to them and we learn from our mistakes.
We are here to win and to celebrate our collective achievements - Win together. We are mission-focused and think and act like owners. We exemplify the attitude we expect and each of us commits to do what it takes to succeed.
We foster personal growth but each of us earns our place as a Moonfarian through merit - Growth and Merit. We hire, retain, and develop exceptional people and invest in empowering them to excel. We must all earn our place at the table every day.
We understand the important role that diversity plays in our success. Different backgrounds, experiences and ideas push us further and raise the bar. We’re committed to developing an inclusive and safe culture where everyone — regardless of colour, race, religion, sex, origin, sexuality, disability, marital status, citizenship or gender identity — knows that they are an integral part of the team and can bring their full potential to their work.
*Minimum investments vary according to jurisdiction.
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Excerpt from the original listing. The full, current text lives at the source. Read and apply there →
The PivotHop read
- What a data engineer actually earnsmedian, seniority, by country
- Careers a data engineer can move intoevery measured route out
- Data Architect → Data Engineer48% readiness
- Data Analyst → Data Engineer29% readiness
- All open data engineer rolesthe full board
Where these skills also reach
Adjacent occupations measured from the same postings — readiness is what a data engineer’s profile already covers.
- 17 open data architect roles90% readiness from data engineer
- 250 open solutions architect roles64% readiness from data engineer
- 184 open data analyst roles60% readiness from data engineer
- 22 open database administrator roles57% readiness from data engineer
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