Join a high-performing Data team that's driving a large-scale transformation program within the banking and financial services industry. This is an excellent opportunity for an ambitious and technically strong Data Engineer to play a lead role in shaping a modern, cloud-based data platform.
You'll be joining a collaborative, forward-thinking environment where innovation, problem-solving, and technology excellence are at the heart of everything they do.
What you'll be doing As a Lead Data Engineer, you'll take ownership of major data initiatives, leading a team to modernise and optimise core data pipelines and platforms. You'll combine strategic thinking with hands-on expertise to deliver scalable, automated, and efficient data solutions leveraging cloud and big data technologies.
Key responsibilities
* Lead the design and delivery of end-to-end data engineering solutions across key transformation programs.
* Guide and mentor a team of engineers to build efficient, high-quality data pipelines and integrations.
* Drive platform optimisation through automation and AI capabilities.
* Collaborate with architects, analysts, and business stakeholders to align solutions with strategic data objectives.
What you'll bring
* Deep Big Data and Hadoop experience with strong Spark, Hive, and Presto (or equivalent) skills.
* Expert-level SQL, including query tuning and optimisation.
* Proven experience implementing ETL/ELT solutions using tools like Talend, DataStage, or Informatica.
* Strong AWS experience across EC2, S3, RDS, and EMR.
* Sound understanding of data modelling, metadata management, lineage, and data quality frameworks.
* Hands-on Python experience, particularly in automation and AI integration.
Why apply You'll be part of an organisation that values collaboration, innovation, and technical excellence. This is a key leadership opportunity for someone passionate about modern data engineering, automation, and cloud transformation within a leading financial institution.