Salary: £60,000 - 70,000 per year Requirements: Proven experience as a Data Engineer working with large-scale data platforms Strong hands-on experience in either Azure or AWS, with working knowledge of the other Azure experience with Lakehouse concepts, Data Factory, Synapse and/or Fabric AWS experience with Redshift, Lambda, and SQL-based analytics services Strong Python skills and experience using Apache Spark Hands-on experience with Databricks Experience designing and maintaining ETL/ELT pipelines Solid understanding of data modelling techniques Experience working in cross-functional teams on cloud-based data platforms Ability to work with SDKs and APIs across cloud services Strong communication skills and a customer-focused approach Desirable: Data migrations and platform modernisation projects Desirable: Implementing machine learning models using Python Desirable: Consulting or customer-facing engineering roles Desirable: Feeding analytics insights back into operational systems Certifications (beneficial but not required): AWS Solutions Architect – Associate, Azure Solutions Architect – Associate, AWS Data Engineer – Associate, Azure Data Engineer – Associate Responsibilities: Designing and building scalable data platforms and ETL/ELT pipelines in Azure and AWS Implementing serverless, batch, and streaming data architectures Working hands-on with Spark, Python, Databricks, and SQL-based analytics platforms Designing Lakehouse-style architectures and analytical data models Feeding behavioural and analytical data back into production systems Supporting architecture reviews, design sessions, and technical workshops Collaborating with engineering, analytics, and commercial teams Advising customers throughout the full project lifecycle Contributing to internal data services, standards, and best practices Technologies: AWS Lambda Redshift Architect Azure Cloud Databricks ETL Fabric Support Machine Learning Python SQL Serverless Spark More: We are an established technology consultancy looking to bring on an experienced Data Engineer to work on large-scale, customer-facing data projects while also contributing to internal data services. This role offers exposure to enterprise clients and modern cloud platforms, promoting a collaborative engineering culture and providing structured learning paths, certification support, and a comprehensive benefits package. We support a friendly and inclusive working environment with regular knowledge sharing and team events. last updated 5 week of 2026