Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
From 12,976 similar postings that came down. Coming down is not always a hire.
Lead Data Platform Engineer
Berlin, Germany
Actively hiring, first seen by us 4 hours ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work
Visa sponsorship is not available
What you’ll work on
Full postingLead the design and development of a data platform for a B2B procurement technology product.
Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis.
Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls.
From the employer’s posting
Lead the design and development of a data platform for a B2B procurement technology product. This hands-on technical leadership role owns the path from enterprise data integrations to reliable analytics, working closely with product and engineering colleagues and customer IT teams.
What You'll Do Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis. Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis. Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations. Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls.
Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations. Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls. Own data ingestion, orchestration, monitoring, and recovery for production systems.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
clera is hiring
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation. - Strong SQL and Python skills, with experience in data modeling and query optimization. - Practical experience designing multi-tenant systems with data isolation and access controls.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About the Role
Lead the design and development of a data platform for a B2B procurement technology product. This hands-on technical leadership role owns the path from enterprise data integrations to reliable analytics, working closely with product and engineering colleagues and customer IT teams.
What You'll Do
Design multi-tenant architecture and reusable data models that protect customer data and support fast, dependable analysis.
Build data cleaning, reconciliation, and analytical calculations for spend analysis, supplier comparisons, and simulations.
Develop repeatable integrations with enterprise systems, including ERP connectivity, synchronization, and access controls.
Own data ingestion, orchestration, monitoring, and recovery for production systems.
Create tools and workflows that make onboarding data, investigating issues, and delivering analytical features more efficient.
Experiment with AI development tools and automation to improve team workflows.
What We're Looking For
At least 5 years of experience building and operating production data systems, including ownership of architecture and implementation.
Strong SQL and Python skills, with experience in data modeling and query optimization.
Practical experience designing multi-tenant systems with data isolation and access controls.
Experience integrating enterprise systems such as ERPs and collaborating directly with customer IT teams.
Experience owning ingestion, orchestration, monitoring, and recovery in production.
Background in data-intensive B2B SaaS or fintech is useful; procurement experience is not required.
Sound technical judgment, initiative, fast execution, and thoughtful use of AI development tools.
Compensation & Benefits
Competitive salary and meaningful equity. Visa sponsorship is not available.
Location
On-site in Berlin, Germany. Candidates should be based in Berlin or willing to relocate.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin, Germany
Location On-site in Berlin, Germany. Candidates should be based in Berlin or willing to relocate.
- Work authorization
Compensation & Benefits Competitive salary and meaningful equity. Visa sponsorship is not available. Location