Data Engineer with a twist (F/M/X)

If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers!    
 

About us

Are you an experienced Data Engineer looking for a stable and proven technology environment that processes millions of transactions daily? At the same time, are you eager to actively contribute to the modernization of the platform? Then this is the right place for you!

We offer you the opportunity to work with a reliable database and ETL stack – Microsoft SQL Server & SSIS – while also shaping the transition to modern technologies. What matters here is your experience, your expertise, and your drive for optimization – not just the latest tech trends.

Your responsibilities

• Proven technologies – You will use Microsoft SQL Server & SSIS as a stable foundation for data-driven business decisions.
• Gradual modernization – You will support the transition from traditional ETL processes to modern solutions using Python, Docker/Kubernetes, and dbt.
• Data modeling & architecture – You will play an active role in the further development of our enterprise data warehouse.
• ETL process development & optimization – You will design robust data integration processes and optimize existing pipelines. This includes identifying bottlenecks and developing solutions to maximize efficiency.
• Independent project ownership – You will take ownership of individual projects, coordinate requirements directly with business departments, and implement solutions independently.
• Team collaboration – You will work closely with experienced Data Engineers.
• Customer proximity – You will communicate directly with business stakeholders to understand technical requirements and translate them into data-driven solutions.
• Paid on-call support – You will be part of our 24/7 support team on selected days each month, with attractive additional compensation. The number of support calls is low and compatible with a good work-life balance.
• 100% remote work & flexible hours – Work from anywhere in Germany with flexible scheduling
• Attractive compensation & benefits – Including a fair arrangement for paid on-call support

Skills and experience

• Several years of experience – At least three years of experience as a Data Engineer or in a similar role.
• SQL expertise – Strong knowledge of SQL Server, T-SQL, and SSIS. You are familiar with both the strengths and the limitations of these technologies.
• Data modeling & ETL – Solid experience in designing data models and implementing efficient data pipelines.
• Analytical thinking – Skilled in analyzing complex data structures and developing efficient processes.
• Problem-solving skills – A proactive approach to challenges and the ability to find practical solutions.
• Customer orientation – Ability to understand technical requirements from business departments, translate them, and develop data-driven solutions with real added value.
• Sense of responsibility – Willingness to take on new challenges, contribute actively, and take ownership of your solutions.
• Language skills – Fluent in German (C1) and good command of English.
• Bonus – Experience with Python, Docker/Kubernetes, dbt, Power BI, or PowerShell is a plus.

Working at Ascent

At Ascent, we promote a healthy work-life balance with hybrid working and flexibility. Enjoy great benefits like 30 days of vacation, workation, childcare allowance, lunch vouchers, and transport allowance.Your well-being matters to us, which is why we offer access to Well-Being Coaches.

We take your growth seriously, supporting your professional development with training, certifications, and regular feedback. Our workplace is modern, fun, and truly lives by our values: Empathy, Energy, and Audacity.

As an equal-opportunity employer, we foster inclusion and belonging. No one is treated less favorably due to gender, background, age, or disability. Need adjustments during the application process? Just let us know.
*Benefits may vary from each country