Data Engineering Lead

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 remotejust coordinate with your team to find what works best
- Need to drive in Weve got shared parking spots available
- Get an extra 6% on top of your monthly base salary to spend how you wantwhether its for wellness learning investments or other perks
- Enjoy a daily meal allowance of 8.50 for every day you workfully 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

-510 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

Required Experience:

Senior IC