Software Engineer, Data
- Remote, Germany
- Full-time
- Senior
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
Data engineering role on a small core systems team, keeping match results, lineups and player stats correct in a football app; hybrid in Germany or the UK, or remote across the EU and UK.
About the role
Core Systems is a compact engineering group that owns the pipelines behind everything users see about matches. Good work means the numbers in the app match what happened on the pitch, including during weekend traffic peaks.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Germany
- Seniority
- Senior
- Employment
- Full-time
- Skills
- Python, SQL, Data modelling, Data pipelines, Monitoring
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Keep results, lineups, goals, appearances, stats and market values accurate and consistent with what happened.
- Build and run Python services and pipelines that merge match data from many sources into teams, players and stats.
- Make data quality measurable through validation, monitoring and alerts, then fix the underlying cause of errors.
- Learn how grassroots football data behaves: age groups, season changes, merged or renamed teams, duplicate players.
- Grow the data models with the engineers who handle acquisition and processing, and build small tools so support staff can check and fix data
What they look for
- Five or more years as a software engineer focused on data, still writing production code and having owned a pipeline or dataset end to end.
- Shipped Python services with tests and code review.
- Strong SQL and clean data modelling.
- Comfortable reading an unfamiliar codebase, its data and its git history before changing anything.
- Used a coding agent in your workflow, planning with it and reviewing every line it writes.
- English as your working language.
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
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Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
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- Log in to Keywordise and approve. Then send the prompt in a new chat.
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Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.Muse is available in the US only for now.
Apply to Keywordise job hphwdjyabyQuestions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people in Germany.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: five or more years as a software engineer focused on data, still writing production code and having owned a pipeline or dataset end to end; shipped Python services with tests and code review; strong SQL and clean data modelling. Skills it names include Python, SQL, Data modelling, Data pipelines.
How do I apply with Keywordise AI?
Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.
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