Data Engineer (all genders welcome)

Rosenxt Group; Löhne; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Benefits dieser Stelle

Employer-funded pension

Company Restaurant

Sports activities

Leasing IT-products and bikes

EV charging facilities

Corporate Benefits

Zusammenfassung

Rosenxt Group is seeking a Data Engineer to design, build, and operate scalable data pipelines across cloud and on‑prem environments. You will own the data lifecycle from ingestion to serving, focusing on data quality, security, and observable pipelines.

The role emphasizes collaboration, learning, and contributing to engineering standards, with potential for growth and a learning budget. Flexible working models and Home Office option are offered as part of a forward-thinking team.

Qualifikationen

• Solid SQL skills and experience with at least one programming language (Python, R).
• Experience building modern data pipelines across cloud/on-prem environments.
• Strong data modeling understanding and schema design.
• Curiosity about data platforms, data quality, security and privacy best practices.
• Comfort using AI tools as part of the engineering workflow.
• Collaborative mindset with willingness to learn from others.
• A degree in Computer Science, Data Science, Engineering, or related field is a plus.

Aufgaben

• Design, build, and operate scalable batch and streaming data pipelines across cloud and on-prem environments.
• Develop and optimize data storage, modeling, and retrieval on our data lakehouse platform.
• Implement data quality, integrity, and security controls with emphasis on lineage and traceability.
• Build observability, automation, and performance tuning for pipelines including logging and SLA management.
• Create and maintain technical documentation for pipelines, data models, and lineage records.
• Contribute to engineering standards and best practices; emphasize reasoning over tool familiarity.
• Write clean, well-tested production code following modern software engineering standards.
• Benefit from learning budget, communities of practice, and clear career paths.

Kenntnisse

SQL

Python

Data pipelines

Data modeling

Collaboration

AI tools

Ausbildung

Computer Science degree

Data Science degree

Tools

Databricks

Fivetran

Terraform

Azure DevOps

Power Platform

Power BI

Docker

GitHub Copilot

Perplexity

Jobbeschreibung

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

What you 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

Tech Stack

• Databricks
• Fivetran
• Terraform
• Azure DevOps
• Power Platform
• Power BI
• Docker
• GitHub Copilot
• Perplexity

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

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

Benefits

• 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