Data Engineer: Build Scalable Pipelines & Platforms

Centrica plc; Clewer Village; On-site; GBP 65,000 - 90,000; Full time

Job summary

Centrica is seeking a Data Engineer to design, develop and maintain scalable data pipelines supporting analytics, customer experiences and decision-making. You will work on foundational assets like the Single Customer View and Property View, ensuring data is governed, accessible and reliable for AI and digital use cases across the business.

The role requires strong SQL and Python skills, hands-on Spark/Databricks experience, and the ability to collaborate with cross-functional teams while

Qualifications

• Experience in Data Engineering or a similar data-focused role
• Strong SQL and Python development skills
• Experience building and supporting scalable data pipelines and transformation processes
• Hands-on experience with Apache Spark, Databricks, dbt and cloud-based data platforms
• Good understanding of data modelling principles, data lakes and data warehouse architectures
• Experience working with CI/CD pipelines, source control and deployment automation
• Experience troubleshooting data quality, operational and performance issues
• Knowledge of data governance, data quality and information security principles
• Strong communication and stakeholder management skills
• Ability to work collaboratively within cross-functional technology teams delivering data products and services

Responsibilities

• Design, develop and maintain data pipelines and transformation processes within Centrica's data platform to ensure data is delivered accurately, efficiently and in line with enterprise standards
• Build and support data engineering solutions that ingest, transform and publish data from source systems into data lakes, data warehouses and curated data products for business consumption
• Implement and contribute to CI/CD, automation, monitoring and operational support processes to ensure data solutions are reliable, scalable and secure
• Collaborate with platform, architecture and engineering teams to adopt data engineering best practices, improve platform capabilities and maintain alignment with enterprise technology standards
• Investigate and resolve data quality, performance and operational issues through root cause analysis to improve stability and operational efficiency
• Work with business stakeholders, product owners and data scientists to understand requirements and deliver data solutions that meet business objectives and user needs
• Ensure compliance with data governance, security and regulatory requirements by following established processes, standards and controls throughout the data lifecycle
• Maintain clear technical documentation and knowledge sharing to support operational effectiveness, solution maintainability and team collaboration

Skills

SQL

Python

Data pipelines

Apache Spark

Databricks

dbt

Cloud platforms

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

dbt

AWS

Azure

Google Cloud

Job description

Centrica is seeking a Data Engineer to design, develop and maintain scalable data pipelines supporting analytics, customer experiences and decision-making. You will work on foundational assets like the Single Customer View and Property View, ensuring data is governed, accessible and reliable for AI and digital use cases across the business.

The role requires strong SQL and Python skills, hands-on Spark/Databricks experience, and the ability to collaborate with cross-functional teams while