At a Glance
- Tasks: Lead the design and implementation of innovative data architectures and pipelines.
- Company: Join a forward-thinking consultancy in the Utilities sector.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic team environment await you.
- Why this job: Shape the future of data architecture and make a real impact.
- Qualifications: Expertise in Python, SQL, and Azure cloud technologies required.
The predicted salary is between 60000 - 80000 £ per year.
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.
Join Our Team as a Senior Data Engineer!
Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months.
Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making.
- Data Architecture & Platform Engineering:
- Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models.
- Develop secure and observable ingestion and transformation pipelines.
- Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks.
- Build and maintain high-performance SQL transformations, curated layers, and reusable data models.
- Embed CI/CD, testing, version control, and observability into workflows.
- Data Quality & Governance:
- Ensure robust data validation, reconciliation, profiling, and auditability across platform layers.
- Mentor fellow data engineers, fostering technical growth within the ICDP team.
- Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes.
- Required Skills:
- Strong hands-on experience in building production-grade data pipelines and orchestration.
- Expert-level skills in analytical SQL, query optimization, and data modeling.
- Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals.
- In-depth understanding of data architecture principles and scalable enterprise data design.
- Proficient in Git, CI/CD, automated testing, and modern engineering practices.
- Involvement in data-platform re-architecture programs.
- Experience in regulated or high-assurance data environments.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants.
Senior Engineer, Data Engineering in Warwick employer: Pontoon
At Pontoon, we pride ourselves on being an inclusive employer that values diversity and fosters a collaborative work culture. As a Senior Data Engineer in Warwick, you'll not only have the opportunity to innovate within a leading Utilities sector but also benefit from a hybrid working model that promotes work-life balance. We are committed to your professional growth, offering mentorship and the chance to lead transformative projects that shape the future of data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Warwick
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Pontoon before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Pontoon.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Pontoon.
We think you need these skills to ace Senior Engineer, Data Engineering in Warwick
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Pontoon, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Pontoon.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Pontoon.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Pontoon.
