From 4000 EUR/month
The final salary can be adjusted accordingly to individual skills and experience of selected candidate
This is a genuine build-and-lead opportunity — architecting a modern, cloud-first data platform from a position of real influence, while growing and shaping the team that delivers it. You will work across a global, cross-functional community, with the scope to drive data democratisation, governance maturity and AI-readiness across the firm.What you will be doing-Design and maintain scalable, secure data lake and lakehouse solutions using Azure Data Lake, Databricks and Delta Lake — built to support real-time insight, advanced analytics and AI/ML at enterprise scale.
-Develop and optimise batch and streaming ETL/ELT pipelines using Azure Data Factory, PySpark, SQL, Apache Spark and Airflow, integrated with modern tooling like dbt and Git-based CI/CD.
-Implement data cataloguing, lineage tracking and governance frameworks through Collibra, ensuring data across the enterprise is discoverable, well-documented and compliant.
-Own the day-to-day leadership, coaching and development of the Data Engineering team within the Global Data Office — supporting recruitment, performance management, skills growth and the adoption of engineering best practices.
-Work closely with Data Office leadership to define engineering strategy, support delivery planning, and build a high-performing, collaborative engineering culture across a geographically dispersed team.
-Monitor and tune data jobs for performance, scalability and cost; embed data validation, logging and monitoring to catch issues early and keep the platform reliable.
Employee perks, benefits
- A people-first culture that values belonging, inclusion, and diverse perspectives.
- Opportunities for professional development and career advancement.
- Exposure to strategic technology initiatives and enterprise-level transformation programmes.
- A collaborative environment where your insights help shape technology investment decisions.
- Office vibe in an attractive location
- Mostly remote—just coordinate with your team to find what works best
- Need to drive in? We've got shared parking spots available
- Get an extra 6% on top of your monthly base salary to spend how you want—whether it’s for wellness, learning, investments or other perks
- Enjoy a daily meal allowance of €8.50 for every day you work—fully covered by us
- Extra days off to help you recharge
- Life assurance to support your loved ones if the unexpected happens
- Get up to 20 days off with full pay for sickness or caring for dependents
- Earn a yearly performance bonus based on how you do
- Daily office refreshments to keep you fueled throughout the day
- Well-being support with helpful apps and an Employee Assistance Program
- Events and workshops on different themes throughout the year
- Volunteering and charity activities
Key Requirements
-5–10 years of experience in data engineering, including designing and delivering data lake or lakehouse architectures in an enterprise cloud environment, ideally Microsoft Azure
-Hands-on expertise with Databricks, Spark, PySpark, SQL and core Azure Data Services (Data Lake Storage, Synapse Analytics, Data Factory)
-Experience with data governance and cataloguing tools such as Collibra or -Purview, plus familiarity with the modern data stack (dbt, CI/CD, streaming frameworks)
-Genuine leadership experience, with a passion for developing people as much as building systems
-Strong communication skills across technical and non-technical audiences, and a resilient, proactive mindset suited to a fast-paced, evolving environment
Skills Required
- 5-10 years of experience in data engineering
- Designing and delivering data lake or lakehouse architectures in an enterprise cloud environment
- Experience with Microsoft Azure data services (Data Lake Storage, Synapse Analytics, Data Factory)
- Hands-on expertise with Databricks, Apache Spark and PySpark
- Strong SQL skills
- Developing and optimising batch and streaming ETL/ELT pipelines (Airflow, Azure Data Factory)
- Experience with data governance and cataloguing tools such as Collibra or Purview
- Familiarity with modern data stack tooling (dbt, Git-based CI/CD, streaming frameworks)
- Genuine leadership experience including recruitment, coaching and performance management
- Strong communication skills across technical and non-technical audiences
What We Do
Freshfields Bruckhaus Deringer is a global law firm with a long-standing track record of successfully supporting the world's leading national and multinational corporations, financial institutions and governments on ground-breaking and business-critical mandates. Our 2,800-plus lawyers deliver results worldwide through our own offices and alongside leading national firms. Our commitment and business know-how mean our clients rely on us when it matters most. Freshfields Bruckhaus Deringer has offices in Austria, Bahrain, Belgium, China, England, France, Germany, Hong Kong, Ireland, Italy, Japan, the Netherlands, Singapore, Spain, the United Arab Emirates, the United States of America and Vietnam.
.jpg)
.jpg)
