Senior Data Engineer on Databricks (m/w/d)
At a glance
Senior Data Engineering role at Würth. Berlin.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape data integration designs with the Enterprise Data Architect across Databricks, SAP BDC and Microsoft Fabric
- Build scalable data products by combining information from SAP, Microsoft and other enterprise systems
- Own the central Databricks data layer, keeping its performance, governance and stability on track
- Guide international integration projects and establish shared technical standards and practices
- Create Databricks proofs of concept and reusable templates, using agentic coding and coaching junior engineers
What you bring
- Five to ten years working hands-on with SQL, database technologies and high-performance data solutions
- Practical depth in Databricks, Delta Lake and Apache Spark, including tuning performance and processing costs
- Software development experience in Python, Java or another listed language, plus familiarity with GitHub Actions CI/CD
- You communicate clearly across international teams and can explain technical topics while mentoring junior colleagues
Who this fits
This senior role suits an experienced data engineer who can own platform-level decisions, lead international integration work and coach junior colleagues. Mobile working is usually available three days per week.
From the employer
Let’s do IT!
As a Senior Data Engineer, you will be at the heart of our data operations, taking on the most challenging and impactful projects. You will be instrumental in shaping our data architecture, designing innovative data products, and ensuring the stability and efficiency of our core data platform. This role requires a blend of deep technical expertise, strategic thinking, and a passion for mentoring. You:
- architect and conceptualize complex data integration solutions in close collaboration with the Enterprise Data Architect across platforms such as Databricks, SAP BDC, and Microsoft Fabric.
- design and develop scalable, reliable corporate data products by integrating heterogeneous data from SAP, Microsoft, and other enterprise systems.
- take functional ownership of the Data Layer on the central Databricks platform, ensuring its performance, governance, stability, and continuous evolution.
- lead and oversee international data integration projects, providing technical guidance while driving global standardization and best practices.
- develop proof of concepts and reusable templates on the Databricks platform, leveraging agentic coding and mentoring junior colleagues through implementation.
Bring IT on!
You make the keys smoke when you code? Perfect — we’ve got solid equipment waiting for you, so you can bring your skills to the team. You:
- bring 5–10 years of hands-on experience in SQL, database technologies, and designing and optimizing high-performance data solutions.
- have deep practical expertise with the Databricks ecosystem, including Delta Lake and Apache Spark, as well as performance tuning, execution optimization, and cost-efficient data processing.
- have proven software development experience with languages such as Python, Java, C, C++, or C#, and are familiar with CI/CD pipelines using GitHub Actions.
- hold, or are willing to obtain, relevant certifications such as Databricks Certified Data Engineer Professional and a cloud provider certification (e.g. Azure Data Engineer Associate or AWS Certified Data Engineer).
- communicate effectively in an international environment and enjoy sharing knowledge by mentoring junior colleagues and explaining complex technical topics clearly.
Get IT and be happy!
In addition to ever-new keyboards, a great team, and a secure workplace, we offer you a wide range of benefits:
- Permanent employment contract
- Flexible working hours and mobile working (usually 3 days per week)
- 30 days of annual vacation (full-time; pro rata for part-time)
- Performance-based bonus and modern work equipment
- Workation (up to 30 days per year in selected countries)
- Sabbatical (after 3 years of employment)
- Comprehensive onboarding day and personalized training program
- Health and fitness programs (Wellpass, 7Mind, Lifesum, “Fit with Würth”)
- Fresh fruit days, health days, company sports groups, and running clubs
- Career and development programs (e.g. via Würth Academy)
- Flat hierarchies and a culture of appreciation
- Employee events and corporate benefits program
- Free hot and cold beverages at most locations
- Employee referral program (“Employees recruit employees”)
- Loyalty bonuses, anniversary gifts, birth and wedding allowances
- Relocation cost reimbursement (under certain conditions)
- JobRad (company bike) and JobTicket (public transport subsidy)
- Access to Würth company health insurance
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.