At a Glance
- Tasks: Build ETL pipelines, transform data, and design analytics-friendly models.
- Company: Local Pensions Partnership, a forward-thinking organisation in London.
- Benefits: Competitive pay, flexible working, and opportunities for skill development.
- Other info: 8-month contract with potential for career growth in data engineering.
- Why this job: Join a dynamic team and make an impact with modern Azure technologies.
- Qualifications: Strong SQL, Python skills, and familiarity with Power BI; DP-203 preferred.
The predicted salary is between 60750 - 74250 £ per year.
Local Pensions Partnership is seeking a Data Engineer for an 8-month fixed-term contract in London.
You will build robust ETL pipelines, transform data, and design analytics-friendly data models.
The role requires strong SQL, Python and Power BI familiarity, with DP-203 or equivalent certification preferred.
You will work with business analysts and stakeholders to deliver scalable data solutions and interactive BI dashboards using modern Azure technologies.
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Data Engineer - Azure Medallion & Power BI in London employer: Local Pensions Partnership
At Local Pensions Partnership Administration (LPPA), we pride ourselves on being an exceptional employer, offering a collaborative and customer-focused work culture that empowers our employees to thrive. With competitive salaries, generous benefits including a robust pension scheme, and opportunities for professional growth, we ensure our team members feel valued and supported while making a meaningful impact in the pensions sector. Our hybrid working model and commitment to employee wellbeing further enhance the experience of working in our vibrant Preston office, making LPPA a fantastic place to build your career.
Contact Details:
Local Pensions Partnership Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Azure Medallion & Power BI in London
✨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 Local Pensions Partnership 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 Local Pensions Partnership.
✨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 Local Pensions Partnership.
We think you need these skills to ace Data Engineer - Azure Medallion & Power BI in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Local Pensions Partnership, 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 Local Pensions Partnership, 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 Local Pensions Partnership’s attention and show the tangible impact of your work.
How to prepare for a job interview at Local Pensions Partnership
✨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 Local Pensions Partnership.
✨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 Local Pensions Partnership.
✨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 Local Pensions Partnership.
