Data Engineer

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

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!

Role: Data Engineer

Duration: 6 Months (multiple extension options)

Location: Remote (must be prepared to travel to Bristol 1 - 2 days a month)

Rate: £650 pd (umbrella)

About the Role: 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.

Key Accountabilities

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.

What We're Looking For

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!

How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your resume and a cover letter highlighting your relevant experience.

Join our client and help shape the future of data engineering! We can't wait to welcome you aboard!

Candidates will ideally show evidence of the above in their CV to be considered.

Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.

We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.