Data Engineer

We're working with a leading company in the utilities sector that is passionate about data and eager to make a significant impact. They are searching for a talented Data Engineer to join their dynamic team, offering an exciting opportunity to contribute to cutting-edge data solutions in a collaborative environment. The Role • Design and develop scalable, secure, and efficient data pipelines, ensuring data quality and accessibility. • Contribute to shaping the data engineering roadmap, aligning solutions with business priorities and technical strategies. • Optimise workflows using 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, and familiarity with tools like Apache Spark, Kafka, and Airflow. • Experience with AWS, Azure, or GCP is a plus. • Strong understanding 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 a culture of agility. • Long-term temporary engagement with potential for extensions. Apply via Haystack today!