Data Engineer

As a Data Engineer, you will report directly to the Lead Data Engineer and play a pivotal role in designing and maintaining scalable data pipelines. Your expertise will ensure data availability, quality, and performance, supporting key analytics and operational decision-making. This is an exciting opportunity to drive innovation and foster a culture of agility within the organization., * Design & Develop: Build scalable, secure, and efficient data pipelines, ensuring that data is accessible and of the highest quality.

• Roadmap Contribution: Help shape the data engineering roadmap, aligning solutions with business priorities and technical strategies.
• Workflow Optimization: Leverage automation and best practices to enhance performance and cost efficiency.
• Collaboration: Work closely with Data Science, Insight, and Governance teams to enable data-driven decision-making across the organization.
• Governance & Compliance: Implement data governance and security standards, ensuring adherence to regulatory requirements.
• Continuous Improvement: Identify risks and ensure ongoing enhancement of data engineering processes.
• Lifecycle Management: Monitor the data pipeline lifecycle from design to post-deployment performance analysis.
• Vendor Engagement: Collaborate with third-party vendors to ensure alignment with project requirements and timelines.
• Emerging Technologies: Stay updated on industry trends to continuously enhance data engineering capabilities.
• Documentation: Maintain clear technical processes to ensure knowledge sharing within the team.

Are you passionate about data and eager to make a difference in the utilities industry? Our client is searching for a talented Data Engineer to join their dynamic team! If you thrive in a collaborative environment and are ready to contribute to cutting-edge data solutions, we want to hear from you!, * Experience with MongoDB: Essential for this role!

• Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow.
• Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus.
• Data Understanding: Strong grasp of data modeling, schema design, and data warehousing concepts.
• Compliance Awareness: Knowledge of data governance and privacy frameworks (e.g., GDPR, ISO27001).
• Agile Advocate: Understanding of Agile methodologies and DevOps practices.

Qualifications:

• Relevant bachelor's or master's degree or technology certifications are essential.

Why Join Us? This is more than just a job; it's an opportunity to impact the future of data engineering in the utilities sector. You will be part of a team that values collaboration, innovation, and continuous improvement. If you are ready to take on this challenge and contribute to a culture of agility, we encourage you to apply!

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