Data Engineer (ETL)

Lorien; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global bank is seeking a Data Engineer to join its data and AI transformation program in London. The role involves designing and maintaining scalable ETL pipelines, collaborating with data scientists, and developing Tableau dashboards. Ideal candidates will have experience in cloud platforms and a strong SQL background, with financial services or banking experience considered a plus.

Qualifications

• Strong experience in ETL pipeline development using modern tools.
• Hands-on experience with Tableau for data visualization.
• Financial services or banking experience is highly desirable.

Responsibilities

• Design, build, and maintain scalable ETL data pipelines.
• Collaborate with data scientists and product teams.
• Develop and maintain Tableau dashboards for insights.

Skills

ETL data pipeline development

Advanced SQL skills

Data visualization using Tableau

Collaboration with data scientists and ML engineers

Experience with cloud platforms (AWS, GCP, Azure)

Tools

Apache Airflow

Informatica

Tableau

Job description

A leading global bank is seeking a skilled Data Engineer to join its next-generation data and AI transformation programme. This contract role offers the chance to work on high-impact initiatives, including powering intelligent chatbots and AI-driven analytics across the organisation.

• Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases.
• Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference.
• Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications.
• Develop and maintain Tableau dashboards to support data storytelling and operational insights.
• Optimise data workflows across cloud and on-prem environments, ensuring performance and reliability.
• Strong experience in ETL pipeline development using tools like Apache Airflow, Informatica, or similar.
• Advanced SQL skills and experience with large-scale relational and cloud-based databases.
• Hands-on experience with Tableau for data visualisation and dashboarding.
• Exposure to AI/ML environments, including data preparation for chatbot training and deployment.
• Familiarity with chatbot frameworks is a plus
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data architectures (e.g. data lakes, lakehouses).
• Financial services or banking experience is highly desirable.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.