Senior Data Platform Engineer (m/f/d)
At a glance
Senior Data Engineering role at A11. Berlin.
Pay not stated Data Platform Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run the lakehouse, covering CRM and operational data intake, storage, pipeline design, orchestration and governance
- Choose near-real-time or batch processing based on how quickly the business needs each dataset
- Shape quotes, orders, margins, suppliers and shipment data into shared models for finance, sales, procurement and logistics
- Work with the Head of Data to create reusable datasets and metrics from business questions
- Prepare data for pricing, forecasting and AI agents, and add quality checks, monitoring and alerts
What you bring
- At least five years in data engineering, with ownership of a data platform rather than isolated pipelines
- Strong SQL and Python skills, practical Spark experience, and familiarity with lakehouse systems; Databricks is preferred
- Experience working from a CRM or ERP and modelling operational data that is messy and manually maintained
- Comfort with infrastructure as code and software practices such as version control, CI and testing
Who this fits
This role suits a senior engineer who can establish a platform from scratch, communicate with non-technical partners and challenge requests when needed. You’ll work closely with the Head of Data, with the possibility of managing a small data engineering team later. The position is based in Berlin.
From the employer
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.
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