Data Engineer

HEADER LINE: Data Engineer We are partnering with a leading utility company that is at the forefront of innovation in the energy sector. This organisation is committed to building a sustainable future through advanced technology and aims to revolutionise how data is used to drive critical decisions. The Role • Design, develop, and maintain scalable, secure, and efficient data pipelines • Contribute to the data engineering roadmap, aligning solutions with business priorities and technical strategies • Optimize data workflows through automation and best practices to enhance performance and cost efficiency • Collaborate with Data Science, Insight, and Governance teams to enable data-driven decision-making • Implement data governance and security standards, ensuring adherence to regulatory requirements • Monitor the data pipeline lifecycle from design to post-deployment performance analysis What You'll Need • Essential experience with MongoDB • Strong technical proficiency in SQL, Python, Apache Spark, Kafka, and Airflow • Experience with cloud platforms such as AWS, Azure, or GCP is a plus • Strong grasp of data modeling, schema design, and data warehousing concepts • Knowledge of data governance and privacy frameworks (e.g., GDPR, ISO27001) • Understanding of Agile methodologies and DevOps practices What's On Offer • Opportunity to impact the future of data engineering in the utilities sector • Be part of a team that values collaboration, innovation, and continuous improvement • Contribute to an agile culture and shape critical data solutions Apply via Haystack today!