Technical Data Engineer

Job description

Location and working pattern

• The successful candidate can work from UK offices in Bristol, Cheltenham, or London, or work remotely from home.
• The role involves occasional travel to customer sites and other company locations when required.
• The working week is 37.5 hours with flexibility around how time is structured.

Key responsibilities

• Interpret, validate, and analyse data requirements across complex environments.
• Gather and profile large-scale structured datasets to ensure data accuracy, quality, and completeness.
• Design and implement ETL or ELT frameworks for ingestion, transformation, validation, normalisation, and cleansing.
• Develop and maintain scalable pipelines for analytics and operational decision-making.
• Implement data quality controls and prepare datasets for reporting and visualisation.
• Design and maintain data models for analytical and operational needs.
• Manage and optimise Amazon S3, Azure Blob Storage, BigQuery, Snowflake, and related storage solutions.
• Contribute to data standards, governance frameworks, policies, and best practices.
• Support data synthesis and anonymisation activities for secure and compliant handling.
• Monitor and optimise workflows for performance, reliability, scalability, and cost efficiency.
• Evaluate emerging technologies and contribute to analytics and visualisation strategies.
• Present technical findings and recommendations to customers and stakeholders.

Candidate requirements

• The employer seeks an experienced Data Engineer who can solve complex technical problems collaboratively.
• Strong understanding of modern data engineering principles and experience in complex or highly regulated environments are required.
• Commercial experience with Snowflake and Databricks is essential.
• Strong SQL and Python proficiency is required.
• Experience with data management, modern architectures, Airflow, Spark, AWS, Azure, and distributed processing is sought.
• Experience with sensitive or security-conscious data environments is highly beneficial.
• Strong analytical, problem-solving, communication, and stakeholder-management skills are required.

Technical environment

• The role covers data modelling, integration, quality, governance, cloud platforms, distributed systems, analytics, and visualisation.
• Relevant technologies include Snowflake, Databricks, Apache Airflow, Spark, Amazon S3, Azure Blob Storage, BigQuery, AWS, and Azure.

Security clearance

• The successful candidate must be eligible to obtain high-level UK security clearance.
• Current eligibility requirements stated in the source include British citizenship and five years of permanent UK residence.
• Candidates who already hold relevant UK security clearance are particularly encouraged to apply.

Benefits and development

• The package includes professional development funding for conferences, training courses, certifications, and related activities.
• The employer offers career development, a matched pension scheme, healthcare benefits, and regular social events.
• The organisation promotes a supportive, inclusive, and collaborative working culture.

Compensation

• The stated salary range is £50,000 to £70,000 per year.