Junior Data Engineer (Energy Domain)

Energy Domain is a must. Under 7 years of experience only. Permanent. Key Responsibilities Design, develop, and maintain data ingestion pipelines using open-source frameworks and tools Build and optimise ETL/ELT processes to handle small to large-scale data processing requirements Develop data models and schemas that support analytics, business intelligence and product needs Monitor, troubleshoot, and optimise data pipeline performance and reliability Collaborate with stakeholders, analysts and product team to understand data requirements Implement data quality checks and validation processes to ensure data integrity Participate in architecture decisions and contribute to technical roadmap planning Technical Skills: Great SQL skills with experience in complex query optimization Strong Python programming skills with experience in data processing libraries (pandas, NumPy, Apache Spark) Hands-on experience building and maintaining data ingestion pipelines Proven track record of optimising queries, code, and system performance Experience with open-source data processing frameworks (Apache Spark, Apache Kafka, Apache Airflow) Knowledge of distributed computing concepts and big data technologies Experience with version control systems (Git) and CI/CD practices Experience with relational databases (PostgreSQL, MySQL or similar) Experience with containerization technologies (Docker, Kubernetes) Experience with data orchestration tools (Apache Airflow or Dagster) Understanding of data warehousing concepts and dimensional modelling Understanding of cloud platforms using infrastructure-as-code (IaC) approaches Knowledge of streaming data processing and real-time analytics Experience with data quality and monitoring tools Preferred Qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, or related field 2-5 years of experience in data engineering or related roles Experience working in the Energy industry

Location: London,, GB

Posted Date: 10/27/2025