At a Glance
- Tasks: Build a data lake on Azure and develop ingestion pipelines using Python.
- Company: Leading client in the financial services sector, specialising in insurance.
- Benefits: Fully remote work with a 3-month contract and potential for extension.
- Other info: Opportunity to work outside IR35 with flexible working arrangements.
- Why this job: Join a dynamic team and shape data architecture in a cutting-edge environment.
- Qualifications: Experience with Azure, Databricks, and Python; ideally in the insurance sector.
The predicted salary is between 60000 - 80000 £ per year.
One of our leading clients is looking to recruit a Data Engineer.
Location – fully remote / home based
Duration – 3 months plus possible extension
Outside IR35
Role / Responsibilities:
- Define and build a data lake architecture on Azure (ADLS + Databricks)
- Implement layered data model (bronze / silver / gold) for ingestion, processing, and reporting
- Develop ingestion patterns from API sources (batch and streaming)
- Establish data governance, metadata, and access controls
- Define storage structures, naming conventions, and schema design
- Develop API connectors and ingestion pipelines using Python
- Implement integration services feeding into the Databricks environment
- Build data transformation logic using PySpark / Python (data cleansing, standardisation, validation)
- Configure monitoring, logging, and alerting
- Execute unit and integration testing across pipelines
Experience:
- Azure
- Databricks
- Python
- Financial Services sector experience – Ideally Insurance / General or Life Insurance
Data Engineer – Azure / Databricks / Python / Insurance - remote - 3 month contract in Leeds employer: MYO Talent
As a leading player in the financial services sector, our company offers an exceptional remote working environment that prioritises flexibility and work-life balance. We foster a culture of innovation and collaboration, providing our Data Engineers with ample opportunities for professional growth through challenging projects and access to cutting-edge technologies like Azure and Databricks. Join us to be part of a dynamic team where your contributions are valued and rewarded, all from the comfort of your home.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Azure / Databricks / Python / Insurance - remote - 3 month contract in Leeds
✨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 MYO Talent 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 MYO Talent.
✨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 MYO Talent.
We think you need these skills to ace Data Engineer – Azure / Databricks / Python / Insurance - remote - 3 month contract in Leeds
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at MYO Talent, 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 MYO Talent, 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 MYO Talent’s attention and show the tangible impact of your work.
How to prepare for a job interview at MYO Talent
✨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 MYO Talent.
✨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 MYO Talent.
✨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 MYO Talent.
