Senior Data Engineer

Senior Data Engineer

London - hybrid - typically 4 days on site

Finance Industry - new Data/ AI centre of excellence

We're hiring a Data Engineer to help design and scale cloud-native data infrastructure that powers analytics, automation, and AI across trading, portfolio operations, and internal business teams. This role sits close to decision-makers, with direct visibility into real commercial problems that need clean, reliable, well-modelled data.

You'll work on high-impact projects such as:

• Building cloud-based data pipelines that power predictive models and advanced analytics

• Ingesting financial, operational, and third-party data from APIs into scalable storage layers

• Developing dbt transformations and ELT workflows for analytics and machine learning

• Orchestrating workloads using Airflow and modern CI/CD practices

• Supporting model execution environments, including Azure ML Studio (experience not required)

What you'll be doing

• Designing and building scalable data pipelines in a modern Azure environment

• Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python)

• Modelling data for analytics, BI, forecasting, and machine learning use cases

• Optimising data architectures for performance, cost, and reliability

• Working closely with data scientists, software engineers, and investment teams

• Troubleshooting and improving existing data processes and infrastructure

• Maintaining high standards around data governance, quality, and documentation

What we're looking for

• Solid grounding in Python for data engineering and automation

• Strong SQL and experience with modern cloud warehouses (Snowflake, BigQuery, Redshift, Azure Synapse etc.)

• Hands-on experience with workflow orchestration tools

• Comfortable working with dbt or similar transformation frameworks

• Experience in Azure is preferred, but strong engineers from AWS/GCP are considered

• Understanding of infrastructure-as-code (Terraform, Pulumi or similar)

• Ability to simplify and communicate complex technical ideas

• Curiosity, ownership, and comfort working in a fast-moving environment

Why this role is different

You'll join an elite, high-autonomy engineering group that acts as an internal technical strike team. The work is varied, senior-facing, and commercially meaningful - with the chance to shape how a major global organisation uses data and AI.

If you want to work with a modern stack, solve real business problems, and build production systems that matter, we'd love to speak.