Data Engineer

Data Engineer

An established technology consultancy is looking to hire an experienced Data Engineer to work on large-scale, customer-facing data projects while also contributing to the development of internal data services. This role blends hands-on engineering with architecture design and technical advisory work, offering exposure to enterprise clients and modern cloud platforms.

You will play a key role in designing and delivering cloud-native data platforms, working closely with engineering teams, stakeholders, and customers from initial design through to production release. The role offers variety, autonomy, and the opportunity to work with leading-edge data technologies across Azure and AWS.

The role

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data platforms and pipelines. You will support and lead technical workshops, contribute to architecture decisions, and act as a trusted technical partner on complex data initiatives.

Key responsibilities include:

• 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

What we are looking for

Essential experience

• 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 experience

• Data migrations and platform modernisation projects

• Implementing machine learning models using Python

• Consulting or customer-facing engineering roles

• 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

What’s on offer

• The opportunity to work on modern cloud and data projects using leading technologies

• A collaborative engineering culture with highly skilled colleagues

• Structured learning paths and access to training and certifications

• Certification exam fees covered and certification-related bonuses

• Competitive salary and comprehensive benefits package

• A supportive and inclusive working environment with regular knowledge sharing and team events

This role would suit a Data Engineer who enjoys combining deep technical work with customer interaction and wants to continue developing their expertise across cloud and data platforms. If you would like to find out more, then please get in contact with Jack at (url removed).