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)