Senior Data Engineer Managed Services (m/f/d) Data Platform Operations – German speaking
First seen by Alion on Nov 13, 2026.
Most of the time, nobody notices a data platform that works. That is exactly the goal: a data platform only creates value when it runs reliably every single day. Our clients rely on complex data and analytics platforms that are operated stably, efficiently and securely. Our focus is on Microsoft Fabric, Microsoft Power BI and SAS, and Apache Spark is part of our growing Managed Services portfolio.
You monitor data processing workflows, build operating structures and automation, and analyze incidents and performance issues across system boundaries. The SAS-specific product knowledge you need is built up with the support of our experienced team. The role includes on-call duty for production incidents outside regular working hours.
The work model is hybrid: you work from home and from our office in Budapest, and you meet colleagues in Germany once or twice a year.
What we offer-
Community & team culture:
Experience events with us that connect and are fun – from relaxed get-togethers to structured team-building sessions. We believe that strong teams grow through shared moments.
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Flexible working & balance:
Work where and how it suits you: At home, in the office, or on the road at a workation. Our flexible working hours provide you with maximum flexibility while ensuring there's always some overlap with the project's core working hours.
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Health & well-being:
At x1F, your well-being truly matters. Across our Nearshore locations, we offer a variety of benefits designed to support you – both personally and professionally.
Curious about what’s available in your country? Reach out to our recruiter anytime – we’re happy to guide you! -
Professional development:
We offer all employees access to LinkedIn Learning, enabling you to learn flexibly and continuously. In addition, targeted development programs support your career growth.
- Operations experience: Hands-on experience running, supporting or engineering production IT, data or analytics platforms.
- Linux and/or Windows Server: Solid knowledge, plus experience with at least one scripting language such as Bash, PowerShell or Python.
- SQL and data processing: Good SQL skills and a sound understanding of relational databases, large datasets and ETL/ELT processes.
- Troubleshooting: Understanding of scheduling, job dependencies, monitoring, log analysis, systematic troubleshooting and restart procedures.
- Languages: English at C1 level and German at B2 level, for international teams and for technical coordination with German-speaking clients and colleagues.
Nice to have:
- Platform experience: SAS 9.4 or SAS Viya, Microsoft Fabric, Microsoft Power BI, Apache Spark, Apache Airflow or Ab Initio.
- Tooling: Git, CI/CD, cloud or container technologies, ITIL.
- Regulated environments: Experience in banking, insurance or other regulated production environments, and an appreciation of security, traceability and controlled changes.
- Remote collaboration: Experience working in a fully remote team.
- Ownership: Structured and autonomous work comes naturally to you, and incidents get followed through to the root cause.
- Solution mindset: Recurring tasks are there to be automated, and fixes should hold up long term.
- Clear communication: Status updates and incidents explained in plain language, for clients and colleagues alike.
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Requirements
- Analytics platform
- Linux
- Windows Server
- Scripting language
- Bash
- PowerShell
- Python
- SQL
- Relational database
- ETL