As a Data Engineer, you will play a key role in designing and delivering robust, scalable data pipelines and enabling trusted, high-quality data across the organisation

We are supporting leading organisations, including financial services clients, in delivering large-scale data transformation programmes, with a focus on data governance, regulatory data and modern cloud-based data platforms.

As a Data Engineer, you will play a key role in designing and delivering robust, scalable data pipelines and enabling trusted, high-quality data across the organisation. You will work as part of a multidisciplinary team spanning architecture, data governance and business domains to support the implementation of enterprise data platforms.

This role offers the opportunity to work on complex, high-impact programmes, contributing directly to data quality, governance and business insight.

Key Responsibilities

Design, build and maintain scalable data pipelines
Ensure data quality, governance and auditability
Work with stakeholders to deliver data-driven solutions
Optimise data flows and ETL processes
Support cloud-based data platform development

Skills and Attributes

Bachelor’s and/or master’s degree in computer science, engineering, mathematics, or another relevant subject
3+ years of experience in data engineering, data platforms or ETL development
Strong proficiency in SQL and relational databases
Experience with ETL tools and data pipeline development
Knowledge of data modelling and data warehousing concepts
Experience with cloud platforms (Azure preferred)
Ability to work with structured and unstructured data across modern and legacy platforms
Strong problem-solving and communication skills

Certifications (optional)

Microsoft Certified: Azure Data Engineer Associate
Databricks Data Engineer Certification
Snowflake Certification

Data Engineer

Job Description