Senior Data Platform Engineer (m/f/d)
Project A Services GmbH & Co. KG
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
About the Job
As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact.
We're looking for a Senior Data Platform Engineer to build the data foundation at one of our Ecosystem Companies. This is the first dedicated data platform hire: you own the platform end to end, work closely with the Head of Data, and lay the groundwork for pricing, forecasting, and AI agents, with a path to leading a small data engineering team.
Join the A11 Ecosystem – a next-generation supply chain platform redefining how one of the world's largest industries sources, distributes, and finances materials. Engineered to unlock the full potential of global trade, it harnesses agentic AI and workflow automation to provide seamless, high-efficiency access to premium materials at scale. Since its commercial rollout, the platform has fueled exponential growth, optimizing procurement for thousands of businesses while setting new benchmarks for speed, transparency, and efficiency. Its competitive edge lies in full digitization and AI-driven supply chain management automation, eliminating inefficiencies and creating a direct, intelligent bridge between suppliers and buyers. With a team of 80+ FTEs across Europe (Berlin HQ), China, and India, the company is rapidly scaling toward profitability, driving triple-digit million GMV, and setting new industry standards in autonomous, AI-powered supply chain orchestration.
In this role, you’ll:
Own the data platform
- Own the lakehouse end to end: ingestion from CRM and operational systems, storage, pipeline architecture, orchestration, and governance
- Add near-real-time processing where the business needs speed, and keep batch where it is sufficient
- Set engineering standards that the team will grow into
Turn data into trusted datasets
- Model commercial and logistics data (quotes, orders, margins, suppliers, shipments) into trusted datasets shared by finance, sales, procurement, and logistics
- Turn business questions into reusable datasets and metrics together with the Head of Data, instead of one-off exports
Build the foundation for pricing, forecasting, and AI agents
- Create features, signals, historical snapshots, and feedback loops that show whether decisions were right
- Prepare the data layer for dynamic pricing and demand sensing
Make data quality visible
- Introduce tests, monitoring, and alerting so pipeline failures and silent schema changes are caught early
Your Profile:
- 5+ years in data engineering with real ownership of a platform, not just individual pipelines
- Strong SQL and Python; hands-on Spark; lakehouse experience (Databricks strongly preferred)
- Experience using a CRM or ERP as a primary source, including modelling messy, manually edited operational data
- Comfortable with infrastructure as code and software engineering practices (version control, CI, testing)
- Able to communicate with non-technical stakeholders and to push back when a request should be solved differently
- Comfortable in a fast-changing scale-up environment without a finished spec
- Routine use of AI coding tools, with a good sense of their limits
- Nice to have: streaming experience (Kafka, Kinesis or equivalent), machine learning or statistics for forecasting or pricing, Salesforce experience, a background in commerce, marketplaces, or supply chain, and a degree in computer science, engineering, or a related field
Please note that this position is based in Berlin
Benefits and Perks:
- Fulfil a role with entrepreneurial freedom and help scale a high-impact business model
- Join an experienced founding team of serial and 2nd-time founders
- Attractive base and bonus compensation program
- Collaboration with top-tier investors and angels (incl. various unicorn founders) as well as leading market experts
If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you!
Our Commitment to Diversity and Inclusion
A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.
About this role
You'd be the first dedicated data engineer at a rapidly scaling supply chain platform, owning the entire data foundation from ingestion through governance. The role sits between hands-on engineering and strategic partnership with the Head of Data—you'll design the lakehouse architecture, set standards for a team that will grow beneath you, and turn messy operational data from CRM and ERP systems into trusted datasets that power finance, sales, procurement, and logistics. The work spans batch and near-real-time processing, with a clear mandate to build the data layer for dynamic pricing, forecasting, and AI agents as the business scales.
This suits someone with 5+ years building and owning data platforms end to end, not just maintaining pipelines. You'll need strong SQL and Python, hands-on Spark, and ideally Databricks experience; comfort with infrastructure as code and software engineering discipline (version control, testing, CI) is essential. The role demands the ability to model complex, manually edited operational data and to communicate trade-offs with non-technical stakeholders—pushing back when a request needs reframing rather than just executing it.
The company is a Berlin-based supply chain platform with 80+ staff across Europe, China, and India, backed by experienced founders and top-tier investors. You'd work in-office in Berlin in a fast-moving scale-up where specs aren't finished and ambiguity is normal. Experience with Salesforce, streaming systems, or supply chain backgrounds is valued but not required; comfort with AI coding tools and a pragmatic sense of their limits matters more.
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Senior Data Platform Engineer (m/f/d) postings in Berlin, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.