Senior Data Engineer on Databricks (m/w/d)

United States Digital Space LLC; Berlin; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Permanent employ­ment contract

Flexible working hours

Mobile working (3 days per week)

30 days annual vacation

Performance‑based bonus

Relocation cost reimbursement

JobRad

Company health insurance access

Zusammenfassung

the company GmbH in Berlin sucht einen Senior Data Engineer on Databricks, um unsere zentrale Datenplattform zu gestalten und datengetriebene Lösungen mit echtem Business‑Mehrwert zu entwickeln.

Sie arbeiten mit Delta Lake, Apache Spark und CI/CD‑Pipelines; bringen 5–10 Jahre Erfahrung mit und leiten internationale Data‑Integrationsprojekte. Die Stelle bietet flexibles Arbeiten und attraktive Benefits.

Qualifikationen

• 5–10 Jahre praktische Erfahrung in SQL, Datenbanktechnologien und der Gestaltung/high‑performance Data Solutions.
• Expertenwissen im Databricks‑Ökosystem mit Delta Lake und Apache Spark.
• Programmierkenntnisse in Python, Java, C, C++, C#; CI/CD‑Pipelines mit GitHub Actions.
• Zertifizierungen wie Databricks Certified Data Engineer Professional oder Cloud‑Provider‑Zertifizierungen sind wünschenswert.
• Kommunikation im internationalen Umfeld; Mentoring von Juniorkollegen.

Aufgaben

• Architektur und Konzeption komplexer Data‑Integrationslösungen in enger Abstimmung mit dem Enterprise Data Architect über Plattformen wie Databricks, SAP BDC und Microsoft Fabric.
• Entwicklung skalierbarer, robuster Data‑Produkte durch Integration heterogener Daten aus SAP, Microsoft und weiteren Systemen.
• Übernahme der Data‑Layer‑Verantwortung auf der zentralen Databricks Plattform, Sicherstellung von Performance, Governance und Stabilität.
• Leitung internationaler Data‑Integrationsprojekte und Förderung globaler Standards und Best Practices.
• Entwicklung von Proofs of Concepts und Vorlagen auf der Databricks Plattform; Mentoring von Junior‑Kollegen.

Kenntnisse

SQL & Datenbanken

Databricks

Delta Lake

Apache Spark

Python

Java

C

C++

C#

GitHub Actions

Mentoring

Datenintegration

Daten-Governance

Tools

Databricks

SAP BDC

Microsoft Fabric

Jobbeschreibung

Daten intelligent nutzen, Prozesse automatisieren und Innovation vorantreiben – genau darum geht es in AI \& Automation. In diesem Bereich entwickeln wir zukunftsweisende Lösungen entlang der gesamten Wertschöpfung. AI \& Machine Learning Solutions schafft praxisnahe KI‑Anwendungen mit echtem Business‑Mehrwert, während Data Platforms \& Business Intelligence leistungsfähige Datenplattformen, transparente Analysen und fundierte Entscheidungsgrundlagen bereitstellt. So machen wir Daten wirksam und Fortschritt messbar.

Senior Data Engineer on Databricks (m/w/d)

Berlin Festanstellung

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.

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.

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

WE LOVE IT.

WE SHARE IT.

WE USE IT.AI, Data \& Automation ist bei uns mehr als nur ein Trend – es ist echte Veränderung mit Wirkung.

Hier entstehen intelligente Lösungen, die Daten nutzbar machen, Prozesse neu denken und spürbaren Mehrwert schaffen. Bist du dabei?

Dein Standort: Berlin

the company GmbH

Volmerstr. 10

12489 Berlin

[phone]

[phone]

[e-mail]

https://www.wuerth-it.com

Deine Ansprechperson:

the company GmbH

Personalrecruiting

Herr René Schleich

07940 930-1881

https://www.wuerth-it.com/karriere