Brook Green Supply
Data Engineer
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The Role
Brook Green Supply (BGS) is an independent B2B energy supply company, creating risk management and energy supply solutions for the UK’s industrial and commercial sector.
Reporting to the Data Engineering Lead, the Data Engineer will build reliable, scalable data infrastructure that supports analytics, business intelligence and product development across Brook Green Supply.
Working as part of the Development team, you will design and maintain ingestion pipelines, ETL and ELT processes, data models and data quality controls. The role suits a proactive engineer who enjoys open-source technologies, practical problem-solving and working closely with technical and non-technical stakeholders.
Essential Functions of the Job
- Design, develop and maintain data ingestion pipelines using open-source frameworks and tools.
- Build and optimise ETL and ELT processes for small to large-scale data processing requirements.
- Develop data models and schemas that support analytics, business intelligence and product needs.
- Monitor, troubleshoot and optimise pipeline performance, reliability and cost efficiency.
- Implement data quality checks, validation processes and monitoring to protect data integrity.
- Collaborate with stakeholders, analysts, engineers and product teams to understand data requirements and translate them into robust data solutions.
- Contribute to architecture decisions, technical roadmap planning and standards for data engineering.
- Use version control and CI/CD practices to support reliable, repeatable delivery.
- Apply infrastructure-as-code approaches where appropriate to support cloud-based data platforms.
- Document pipelines, data models and technical decisions so that solutions are maintainable and easy to operate.
- Keep current with emerging data engineering technologies and recommend practical improvements.
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Skills & Experience Required
- Strong SQL skills, including experience with complex query optimisation.
- Strong Python programming skills, with experience using data processing libraries such as pandas, NumPy or Apache Spark.
- Hands-on experience building, maintaining and optimising data ingestion pipelines.
- Experience with open-source data processing and orchestration frameworks such as Apache Spark, Apache Kafka, Apache Airflow or Dagster.
- Knowledge of distributed computing concepts, big data technologies and data warehousing principles.
- Experience with relational databases such as PostgreSQL, MySQL or similar.
- Experience with Git, CI/CD practices and containerisation technologies such as Docker or Kubernetes.
- Understanding of dimensional modelling, data quality controls, monitoring tools and performance tuning.
- Understanding of cloud platforms and infrastructure-as-code approaches.
- Strong analytical thinking, attention to detail and practical debugging skills.
- Able to manage priorities independently and explain technical concepts clearly to non-technical stakeholders.
- Experience working in agile development environments and a commitment to continuous learning.
- Relevant experience in data engineering or a related role. Experience in the UK energy sector, columnar databases such as ClickHouse, data visualisation tools such as Tableau, GraphQL, or data catalogue and metadata tools is desirable.
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Brook Green Supply is committed to ensuring equal opportunities, fairness of treatment, dignity and respect, and the elimination of all forms of discrimination in the workplace for all employees/contractors and job applicants.
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