At a Glance
- Tasks: Design and develop modern cloud-based data solutions using Microsoft technologies.
- Company: Secure public sector organisation in the East Midlands with a focus on innovation.
- Benefits: Hybrid working, competitive pay, and the chance to shape data capabilities.
- Other info: Opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact by building scalable data architectures and supporting data-driven decisions.
- Qualifications: Experience in data engineering, cloud solutions, and strong SQL skills required.
The predicted salary is between 49500 - 60500 £ per year.
Data Engineer (Cloud Architecture)
Contract until 31 March 2027 | East Midlands | Hybrid Working | Inside IR35 Rate: Negotiable Dependent on Experience Data Careers is supporting a secure public sector organisation in the East Midlands in the search for an experienced Data Engineer / Cloud Architect.
This is a key role within a growing data function focused on building modern cloud-based data capabilities.
You'll play a central role in designing, developing and supporting the data platforms, pipelines and architectures that enable intelligence, operational insight, performance reporting and data-driven decision-making.
The successful candidate will bring strong data engineering expertise alongside experience designing modern cloud data solutions using Microsoft technologies.
Security & Eligibility
Due to the nature of this environment, candidates must: Be UK-based.
Have continuously resided in the UK for a minimum of five years.
Be eligible to obtain NPPV3 and SC clearance.
Existing police vetting, NPPV3 and/or SC clearance would be highly advantageous.
Candidates who do not meet the residency requirement will not be able to progress through the vetting process.
The Opportunity
This is one of the organisation's priority hires and offers the opportunity to help shape a modern Microsoft Fabric data environment.
Working closely with architects, analysts and business stakeholders, you will design and build scalable data solutions, supporting the ingestion, transformation and delivery of data from multiple source systems.
Hybrid working is available, with attendance in Lincolnshire typically expected around one day per week, although flexibility is available depending on business needs.
Key Responsibilities
Design, develop and maintain modern cloud-based data pipelines.
Build and support ETL and ELT processes across multiple source systems.
Configure and administer Microsoft Fabric data environments.
Design and implement data ingestion and landing strategies.
Develop scalable data architectures using Medallion Architecture principles.
Deliver API integrations and automated data workflows.
Support data quality, governance and compliance requirements.
Collaborate with analysts and stakeholders to develop effective data solutions.
Contribute to the ongoing development of data engineering standards and best practice.
Essential Experience
Microsoft Fabric implementation, configuration or administration.
Data engineering and ETL/ELT development.
Data ingestion and integration from multiple source systems.
Cloud-based data platform experience, ideally Azure.
API integration and data pipeline development.
SQL and data modelling expertise.
Experience working with large and complex datasets.
Strong understanding of modern data architecture principles.
Highly Desirable Experience
Medallion Architecture (Bronze, Silver, Gold).
Azure Data Factory, Synapse or related Azure data services.
Public sector, policing or regulated environment experience.
Existing SC or NPPV clearance.
Apply Now
If you're looking for an opportunity to help build and shape a modern Microsoft Fabric data platform within a secure public sector environment, we'd like to hear from you.
TPBN1_UKTJ
Data Engineer (Cloud Architecture) in Grantham employer: Data Careers
Join a dynamic and innovative IT consultancy in Northfleet, where collaboration and inclusivity are at the heart of our work culture. We offer competitive salaries, bonuses, and a flexible working arrangement that allows you to balance office and home life effectively. With a strong focus on employee growth and development, we provide ample opportunities for you to advance your career while making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Cloud Architecture) in Grantham
✨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 Data Careers 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 Data Careers.
✨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 Data Careers.
We think you need these skills to ace Data Engineer (Cloud Architecture) in Grantham
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Data Careers, 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 Data Careers, 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 Data Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Data Careers
✨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 Data Careers.
✨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 Data Careers.
✨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 Data Careers.
