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.