Data Engineer

• 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

• 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

Benefits

• Attractive compensation: We benchmark our compensation against other Fintechs and aim to pay at the 75th percentile.

• Relax and Recharge: You start your career at Moonfare with 25 vacation days and earn one extra day per year of tenure. Additionally, we have company‑wide days off on different occasions.

• Growth budgets: Each full‑time employee receives a minimum of €1,500 growth budget/ year that can be used for seminars, coaching, certification or other things that fosters your growth.

• Free daily lunches: On top of snacks, fruits, cereals and drinks, we offer lunch in our Berlin office and generous lunch budgets in our other offices.

• Mental health support: Our mental health platform nilo.health gives all employees access to online counseling, daily meditations and mindfulness workshops.

• Other benefits: We also offer a variety of other benefits like company parties and events, a referral bonus of €2,000, spontaneous company‑wide vacation and company merch.

• Familiarity with DBT (models, tests, documentation)

• Experience with relational databases and data warehouses

• 2–4 years of hands‑on experience building and maintaining data pipelines in production

• Practical experience with Docker

• Solution-oriented, strong attention to detail, and open to feedback and mentorship

• Basic Scala experience, or a willingness to pick it up

• Strong Python and advanced SQL

• Solid working knowledge of AWS or another major cloud provider

• Confident in Git, CI/CD, and modern deployment practices

• Experience with Apache Spark or a similar distributed processing framework

• Working knowledge of K8Bash scripting

• Flyway or similar SQL migration tools