Data Engineer - Databricks

Working on a major nuclear power plant project with experience in Databricks, the Data Engineer will be responsible for designing, developing, testing, and supporting data products that underpin reporting, analytics, and operational decision-making across the project programme.

Working within a multidisciplinary Data & Analytics team, the successful candidate will use Databricks, SQL, Python, and Microsoft technologies to deliver robust, scalable, and maintainable data solutions. They will collaborate closely with Data Architects and Performance Analysts to transform business requirements into high-quality data products that support project performance reporting across safety, quality, schedule, cost, and operational functions.

This role requires a Data Engineer who can work independently, take ownership of technical delivery, and contribute to the continuous improvement of the organisation's data platform.

Key Responsibilities

Data Engineering & Development

Design, develop, and maintain data products using Databricks and associated Azure technologies.

Build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple enterprise systems.

Develop data transformations using PySpark, Spark SQL, SQL, and Python.

Create and maintain curated datasets that support business intelligence, reporting, and analytics.

Implement data quality, reconciliation, validation, and monitoring processes.

Optimise data pipelines and workloads to improve performance, reliability, and cost efficiency.

Support the development of reusable engineering frameworks, templates, and standards.

Delivery & Support

Translate business requirements and functional designs into technical solutions.

Develop, test, document, and deploy data products in line with established engineering standards.

Support production data products and resolve issues impacting data quality or availability.

Participate in release, deployment, and change management activities.

Contribute to continuous improvement initiatives across the data platform.

Collaboration & Governance

Work closely with Data Architects to ensure solutions align with enterprise architecture and data standards.

Collaborate with Performance Analysts and business stakeholders to understand reporting and analytical requirements.

Communicate technical solutions and implementation approaches clearly to technical and non-technical audiences.

Ensure compliance with Information Design Authority (IDA) governance processes.

Maintain appropriate technical documentation, data lineage, and support materials.

Essential Skills & Experience

Databricks & Data Engineering

Minimum 2 years' experience delivering data engineering or business intelligence solutions.

Strong proven commercial experience with Databricks.

Strong experience developing ETL/ELT pipelines and data integration solutions.

Experience using Apache Spark, PySpark, and Spark SQL.

Strong SQL development and optimisation skills.

Experience working with large and complex datasets from multiple source systems.

Knowledge of data modelling principles and analytical data structures.

Experience implementing data quality and reconciliation processes.

Experience working with Power BI and data visualisation solutions.

Understanding of semantic models, reporting datasets, and business intelligence concepts.

Ability to support analysts in delivering meaningful reporting and insights.

Desirable Skills

Databricks certification.

Experience within construction, infrastructure, engineering, utilities, energy, or regulated industries.

Familiarity with Integrated Management System (IMS) or similar governance frameworks.

Knowledge of Power BI advanced features and dashboard development.

Experience with automation using VBA or Python.

Exposure to Agile delivery methodologies.