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Data Engineer

Job in Lancashire, Lancashire, England, UK
Listing for: Jacobs
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 85000 GBP Yearly GBP 55000.00 85000.00 YEAR
Job Description & How to Apply Below

Data Engineer This is a great time to join our Data & Digital team as we continue to grow our data engineering capability across complex and impactful client environments. You'll have the opportunity to design, build and maintain modern data platforms that help organisations unlock the value of their data and make better-informed decisions. Working alongside talented engineers, architects, analysts and client stakeholders, you'll contribute to solutions that support critical services across government, defence and highly regulated industries.

Whether your experience has been gained through data engineering, software development, cloud platforms or a combination of technical disciplines, you'll be supported to develop your skills while working on meaningful projects that make a real difference. If you're passionate about solving problems, collaborating with others and using data to create positive outcomes, we'd love to hear from you.

Day to Day

Design, build and maintain reliable ETL/ELT data pipelines using AWS or Azure cloud-native services and established engineering patterns
Develop and support data integration components and services, including Java-based microservices where required
Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON
Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse
Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services
Implement data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery
Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services
Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps
Contribute to documentation, runbooks, data dictionaries and reusable engineering assets that support delivery teams
Collaborate with data architects, analysts, software engineers and client stakeholders to deliver high-quality solutions
Support Dev Ops ways of working through source control, automated testing and CI/CD practices
Communicate progress, risks and technical decisions effectively with both technical and non-technical stakeholders

What's In It For You

Work on impactful data engineering projects that support important services and organisations across the UK
Build and enhance modern cloud-based data platforms using AWS and Azure technologies
Gain hands-on experience with a wide range of data engineering, integration and analytics challenges
Collaborate with experienced engineers, architects and data specialists in supportive, multidisciplinary teams
Develop expertise across cloud-native data services, PySpark, SQL and modern engineering practices
Access mentoring, knowledge sharing and development opportunities to help you grow your career
Contribute to solutions that deliver measurable value and meaningful outcomes for clients
Progress through clear technical and leadership development pathways as your experience grows

Benefits

A global network of expertise and opportunity
A culture founded on safety, integrity, inclusion and belonging
Flexible working arrangements that support your well-being and potential
Investment in your development, including certifications, learning time and access to mentors
Opportunities to contribute to communities of practice and internal technical initiatives
Exposure to diverse projects across multiple industries and sectors
Competitive benefits package including pension, holiday allowance and additional perks
An inclusive…

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