At a Glance
- Tasks: Build new data pipelines and create dashboards using Python.
- Company: Global reinsurance firm with a focus on innovation.
- Benefits: Excellent salary, exceptional benefits, and potential for contract extension.
- Other info: Collaborative environment with opportunities to work across different teams.
- Why this job: Join a key project and make a real impact in a global systems upgrade.
- Qualifications: Strong Python coding skills and experience in data engineering.
The predicted salary is between 50000 - 65000 £ per year.
Calling all data engineers for a key 12-month contract supporting a global systems upgrade
Are you an experienced data engineer with strong Python coding skills and the right to work in the UK?
Then read on!
Our client, a global reinsurance firm, has several opportunities for talented data engineers with hands-on coding experience to carry out technical work for a project to build new data pipelines as part of a global systems upgrade.
Working with the UK Analytics team, you will be required to code in Python and to create dashboards.
Good communication skills are essential as you will liaise with different teams across the business.
These roles are available on a fixed term or day rate basis, initially for 12 months with the potential to extend.
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Data Engineer for Global Systems Upgrade — 12-Month Contract employer: Actuarial Futures
Actuarial Futures is an excellent employer, offering a dynamic work environment in London that promotes hybrid working and a strong focus on employee development. With a commitment to professionalism and fostering positive relationships, employees benefit from opportunities for growth within the pensions sector, alongside a supportive culture that values communication and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer for Global Systems Upgrade — 12-Month Contract
✨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 Actuarial Futures 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 Actuarial Futures.
✨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 Actuarial Futures.
We think you need these skills to ace Data Engineer for Global Systems Upgrade — 12-Month Contract
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Actuarial Futures, 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 Actuarial Futures, 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 Actuarial Futures’s attention and show the tangible impact of your work.
How to prepare for a job interview at Actuarial Futures
✨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 Actuarial Futures.
✨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 Actuarial Futures.
✨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 Actuarial Futures.
