Data Engineer (all genders welcome)

Posted Yesterday
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Löhne, Nordrhein-Westfalen, DEU
In-Office
Mid level
Artificial Intelligence • Robotics • Energy • Industrial
The Role
Design, build, and operate scalable batch and streaming data pipelines; optimize storage and query performance on a data lakehouse; implement data quality, lineage, security controls; build observability and automation; write well-tested production code and maintain documentation while collaborating across teams.
Summary Generated by Built In

To strengthen our team at our location in Wietmarschen-Lohne with flexible working models and the option to work from home we are looking for a 

Data Engineer (all genders welcome) 

to fill a two-year fixed-term position as a parental leave replacement. 

At Rosenxt, we don't just work with data - we engineer the systems that make it powerful. As a Forward Thinker, you leverage the latest in data and cloud technology – including AI-assisted engineering as part of your everyday workflow - to design pipelines and platforms that power our AI and analytics future. As a Passionate Team Player, you know that the best technical solutions come from working closely with the people around you: sharing code, reviewing designs, and solving hard problems as a team. And as a Trusted Partner, you own the full data lifecycle from ingestion to serving, ensuring that data flows reliably, securely, and traceably. 

Whether you're just hitting your stride or already a seasoned engineer, if you love building things that matter with data, you'll fit right in! 

What you can expect  
  • Design, build, and operate scalable batch and streaming data pipelines across cloud and on-premises environments across the data engineering lifecycle 

  • Develop and optimize data storage, modeling, and retrieval solutions on our data lakehouse platform including table design, views, and query optimization 

  • Implement data quality, integrity, and security controls across the full data lifecycle with a focus on lineage and traceability 

  • Build observability, automation, and performance tuning for pipelines including logging, metrics, alerting, and SLA management 

  • Create and maintain clear technical documentation for pipelines, data models, and lineage records 

  • Help shape our engineering standards and best practices - we care more about your ability to reason than tool familiarity 

  • Write clean, well-tested production code following modern software engineering standards (Git, CI/CD, Agile) 

  • Room to grow - we actively support your development with a learning budget, communities of practice, and real career paths tailored to where you are right now 

Our Tech Stack 

We work with a modern stack and we care more about how you think than what you've used before: Databricks, Fivetran, Terraform, Azure DevOps, Power Platform, Power BI, Docker, Github Copilot, Perplexity  

 

What you Bring 

To become part of the Rosenxt family, you have strong problem-solving instincts and the ability to communicate clearly across technical and business teams. You should also bring: 

  • Solid SQL skills and hands-on experience with at least one programming language (Python, R, etc.) 

  • Experience building or working with modern data pipelines – at any scale 

  • A strong grasp of data modeling you think in schemas, not just scripts, and understand why good modeling makes everything downstream easier 

  • Curiosity about data platforms, data quality, security, and privacy best practices 

  • Comfort using AI tools as part of your engineering workflow as a force multiplier, not a shortcut 

  • A collaborative mindset – you ask questions, share knowledge, and enjoy learning from others 

  • A degree in Computer Science, Data Science, Engineering, or a related field is a plus - equivalent practical experience is absolutely welcome 

 

Look forward to  
  • Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character 

  • Flexible working time, working time accounts and Home Office possible 

  • An open, informal corporate culture, where we celebrate success with social events 

  • Compatibility of work and family through our company-owned day care center 

  • Employer funded pension, capital accumulation benefits and discounted insurance offers (occupational disability insurance and other direct insurance policies) 

  • Company Restaurant and fresh fruit daily 

  • Various in-house sports activities (EGYM Wellpass and other offers) 

  • Attractive leasing offers for IT-products and bikes for private use 

  • Discounted charging facilities for electric vehicles directly at the company location 

  • Corporate Benefits - employee offers in changing online shops at top conditions 

 

More information about the Rosenxt Group please click here: 

www.rosen-nxt.com 

Skills Required

  • Solid SQL skills
  • Hands-on experience with at least one programming language (Python, R, etc.)
  • Experience building or working with modern data pipelines (batch and/or streaming)
  • Strong grasp of data modeling and schema design
  • Experience with Git, CI/CD, and modern software engineering practices
  • Familiarity with data lakehouse platforms and query optimization
  • Implementing data quality, lineage, security, and privacy controls
  • Comfort using AI-assisted engineering tools (e.g., GitHub Copilot, Perplexity) in workflow
  • Experience with technologies from the stack (Databricks, Fivetran, Terraform, Azure DevOps, Power Platform, Power BI, Docker)
  • Degree in Computer Science, Data Science, Engineering or equivalent practical experience
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The Company
463 Employees
Year Founded: 2023

What We Do

Rosenxt is a privately owned, global technology group formed as a 2023 spin-off of the ROSEN Group. It develops high-tech solutions for customers operating critical infrastructure in harsh environments, including subsea and offshore structures, industrial manufacturing, waterline infrastructure, and upstream energy. Its expertise spans sensors, autonomous robotics, artificial intelligence, advanced materials, measurement technologies, and engineering, supporting asset safety, efficiency, resilience, and longevity.

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