Senior Data Engineer (Big Data/ Hadoop/ Spark) (Banking)

Description

Your new company

Working for a renowned financial services organisation

Your new role

We're looking for a Senior Data Engineer to design and deliver scalable on prem, high‑quality data solutions for low/ high-level data platforms that power analytical and business insights. This is a hands‑on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services. Joining leading commodities, metals, trading, and exchange group, you will support a strategic metals initiative focused on reducing on‑prem platform costs and modernising legacy ETL processes.

You'll help design and build a new on‑prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing to a robust, scalable, and resilient enterprise data ecosystem.

What you'll need to succeed

Vast Data Engineering expertise with Big Data technologies.

Experience designing and building on‑prem data platforms, from high‑level architecture to detailed technical design.

Hands‑on experience configuring multi‑node Hadoop clusters, including resource management, security, and performance tuning.

Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools.

Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB.

Proven delivery of streaming pipelines and real‑time data processing solutions.

Improved job efficiency and reduced runtimes through Apache Spark optimisation and development.

Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines.

Delivered streaming pipelines and real‑time data processing solutions.

Experience replacing legacy ETL tools (e.g., Informatica) with modern data engineering pipelines and platform builds.

Proven background working within financial services environments.

What you'll get in return

Flexible working options available. xjnqpsq

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

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Ad ID: 5417764038