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- Tasks: Design and maintain scalable data pipelines to support analytics and decision-making.
- Company: Pontoon, an inclusive employment consultancy focused on improving workplace opportunities.
- Benefits: Competitive rate of £650 pd, remote work with occasional travel, and potential for extensions.
- Other info: Join a collaborative team that values continuous improvement and agility in a dynamic environment.
- Why this job: Make a real impact in the utilities sector while driving innovation in data engineering.
- Qualifications: Experience with MongoDB, SQL, Python, and knowledge of cloud platforms like AWS or Azure.
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.
Data Engineer in Bristol employer: Pontoon
Contact Detail:
Pontoon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving MongoDB, SQL, and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines or optimising workflows. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Data Engineer role!
We think you need these skills to ace Data Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with MongoDB, SQL, and any relevant tools like Apache Spark or Kafka. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our client's innovative projects. Keep it concise but impactful – we love a good story!
Answer Screening Questions Thoughtfully: Take your time with the screening questions during the application process. This is your opportunity to showcase your understanding of data governance and compliance, as well as your agile mindset. We’re keen to see your thought process!
Apply Through Our Website: We encourage you to apply through our website for a smooth application experience. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Pontoon
✨Know Your Data Tools
Make sure you brush up on your skills with MongoDB, SQL, Python, and any other tools mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, prepare examples of how you've successfully collaborated in the past. Highlight any experiences where you contributed to data-driven decision-making or worked with cross-functional teams.
✨Understand the Business Context
Familiarise yourself with the utilities industry and how data engineering plays a role in it. Being able to discuss how your work can impact business priorities will demonstrate your strategic thinking and alignment with the company's goals.
✨Prepare for Technical Questions
Expect technical questions related to data pipeline design, governance, and compliance. Practice explaining your thought process and problem-solving approach, as this will help you convey your expertise effectively during the interview.