At a Glance
- Tasks: Design and build Azure data pipelines for a major transformation programme.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Competitive pay, flexible work arrangements, and potential for contract extension.
- Other info: Exciting opportunity to work in a dynamic, regulated environment.
- Why this job: Make a real impact by creating a trusted view of customer information.
- Qualifications: Active SC Clearance and strong experience with Azure technologies required.
The predicted salary is between 50000 - 60000 £ per year.
Location: Leeds, 1x per week
Duration: 3 months with strong chance of extension
Contract: Outside IR35
Current active SC Clearance is essential. Applications from candidates who are only eligible for SC Clearance cannot be considered.
This is a great opportunity for an experienced Data Engineer to support the delivery of a greenfield Azure cloud data platform for a major transformation programme. This contract will see you building a modern Azure data platform that brings together complex data from multiple systems, improving data quality, automation and reporting while helping create a single, trusted view of customer information.
Key Responsibilities
- Design, build and optimise Azure data pipelines using Azure Data Factory and Azure Databricks
- Develop data ingestion solutions using Change Data Capture and Managed File Transfer
- Build canonical data models, conformed dimensions and fact tables
- Deliver curated Gold-layer datasets for reporting, analytics and AI use cases
- Automate data validation and quality assurance processes, replacing manual checks
- Configure Unity Catalog, clusters, pipelines and data contracts
- Contribute to data governance, security, lineage and platform design
- Collaborate on solution design, code reviews, testing and defect resolution
Essential Skills & Experience
- Current active SC Clearance (mandatory)
- Strong commercial experience with Azure Databricks, Azure Data Factory and Azure data engineering
- Advanced Python (including Pandas) and SQL
- Hands-on experience with Unity Catalog
- Experience designing data warehouses, including slowly changing dimensions (SCD) and dimensional modelling
- Knowledge of CDC, data ingestion patterns and governed data platforms
- Understanding of data governance, security and lineage
- Experience within regulated or public sector environments is advantageous
- Familiarity with Power BI is beneficial but not essential
SC Cleared Data Engineer in Leeds employer: All The Top Bananas
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StudySmarter Expert Advice🤫
We think this is how you could land SC Cleared Data Engineer 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 All The Top Bananas 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 All The Top Bananas.
✨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 All The Top Bananas.
We think you need these skills to ace SC Cleared Data Engineer in Leeds
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at All The Top Bananas, 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 All The Top Bananas, 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 All The Top Bananas’s attention and show the tangible impact of your work.
How to prepare for a job interview at All The Top Bananas
✨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 All The Top Bananas.
✨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 All The Top Bananas.
✨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 All The Top Bananas.
