Senior Cloud Data Engineer - ETL, PySpark & Analytics

Jacobs; Lancashire; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Flexible working

Mentoring & learning

Development opportunities

Global company culture

Job summary

Jacobs is seeking a Senior Data Engineer to join our Data & Digital team in the UK. You will design, build and maintain modern data platforms that enable government, defence and regulated sectors to unlock data value and drive informed decisions.

You will work with AWS and Azure, PySpark, Python/Java, and contribute to ETL pipelines, data quality, and DevOps practices in a collaborative environment. We offer mentoring, development opportunities and a supportive, inclusive culture.

Qualifications

• Hands-on experience designing and building data pipelines in cloud environments.
• Experience with structured and semi-structured data formats (Parquet, Avro, JSON).
• Proficiency in SQL across cloud analytical platforms (Athena, Redshift, Azure Synapse).
• Strong coding skills in Python and/or Java for data processing.

Responsibilities

• Design, build and maintain ETL/ELT data pipelines on AWS or Azure.
• Develop and support data integration components and microservices.
• Prepare and transform data using formats like Parquet, Avro, JSON.
• Write and optimise SQL for cloud platforms (Athena, Redshift, Synapse).
• Build scalable data processing solutions with PySpark and cloud orchestration services.
• Implement data quality checks, monitoring and logging.

Skills

PySpark

SQL

Python

Java

ETL/ELT pipelines

Data quality & monitoring

CI/CD & Git

Agile delivery

Senior project lead

Cloud platforms (AWS/Azure)

S3 / Data Lake Gen2

Tools

AWS Glue / Lambda / Step Functions

Azure Data Factory / Synapse

Job description

Jacobs is seeking a Senior Data Engineer to join our Data & Digital team in the UK. You will design, build and maintain modern data platforms that enable government, defence and regulated sectors to unlock data value and drive informed decisions.

You will work with AWS and Azure, PySpark, Python/Java, and contribute to ETL pipelines, data quality, and DevOps practices in a collaborative environment. We offer mentoring, development opportunities and a supportive, inclusive culture.