Data Engineering Lead

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