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Senior Data Engineer

Job in London, Greater London, EC1A, England, UK
Listing for: Fruition Group
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 GBP Yearly GBP 80000.00 YEAR
Job Description & How to Apply Below
Job Title:

Senior Data Engineer

Location:

Leeds, 2x per week Salary:
Up to £80,000 per annum Why Apply? This is an exciting opportunity to work as a Senior Data Engineer delivering scalable, high quality data solutions for a leading client in the technology sector. This position offers professional growth, challenging projects, and access to cutting edge cloud data technologies. Senior Data Engineer Responsibilities:
Design, develop, and optimise robust, scalable data pipelines and architectures to support business intelligence and analytics initiatives. Manage and maintain cloud-based data platforms (AWS, Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability.

Develop, maintain, and enhance reporting and analytics capabilities through tools such as Power

BI, Tableau, or Quick Sight. Apply best practices in data governance, data quality, and performance optimisation. Operate in an agile environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements:
Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google Big Query/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. Experience designing reliable, maintainable, and high-performance data pipelines and architectures. Broad understanding of data warehousing, data lakes, and lakehouse architectures. Familiarity with business intelligence and data visualisation tools. Excellent analytical thinking, attention to detail, and problem-solving skills.

Strong collaboration and communication skills, able to work with both technical and non-technical stakeholders. Comfortable with complexity, ambiguity, and working independently or as part of a team in a fast-paced environment. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Position Requirements
10+ Years work experience
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