At a Glance
- Tasks: Join a dynamic team to design and build scalable data pipelines for impactful projects.
- Company: Government client focused on public good with a collaborative, multidisciplinary environment.
- Benefits: Competitive salary of £49,400, excellent pension, and opportunities for professional development.
- Other info: Hybrid work model available across multiple UK locations.
- Why this job: Make a real difference by applying your data skills in a meaningful way.
- Qualifications: Experience in data engineering, Python coding, and cloud environments required.
The predicted salary is between 49400 - 49400 £ per year.
Data Engineer (AWS) 12-month FTC, Hybrid/London, Manchester, Cardiff, Belfast, Edinburgh or Darlington One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC).
They are offering £49,400 per annum plus excellent pension.
This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts.
What youll do: Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities.
Spend most of your time on hands-on technical work with support for learning and professional development.
Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources.
This can include automated web scraping and bulk data acquisition workflows.
Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready.
Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads.
Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs.
Apply Infrastructure as Code (Ia C) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure.
Design and maintain systems for data version control and reproducible machine learning workflows (MLOps).
Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions.
What youll need: Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment.
(Lead Criteria) An undergraduate degree in a quantitative subject
OR equivalent experience working in data engineering, data science, or development in the cloud.
(Lead Criteria) Experience writing production-quality Python code to work with complex or messy datasets. ( Lead Criteria) Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility.
Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers.
Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences
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Data Engineer (AWS) 12-month FTC, Hybrid/London, Manchester, Cardiff, in Midlothian employer: SmartSourcing plc
As a Control Systems Specialist, you will join a forward-thinking company that values innovation and employee development. With a flexible home-based working arrangement and opportunities for travel to various client sites across the UK, you will enjoy a dynamic work culture that encourages personal growth and the chance to shape your role in a meaningful way. The company is committed to fostering a supportive environment where your expertise in the Fire and Rescue Service can truly make an impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (AWS) 12-month FTC, Hybrid/London, Manchester, Cardiff, in Midlothian
✨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 SmartSourcing plc 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 SmartSourcing plc.
✨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 SmartSourcing plc.
We think you need these skills to ace Data Engineer (AWS) 12-month FTC, Hybrid/London, Manchester, Cardiff, in Midlothian
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SmartSourcing plc, 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 SmartSourcing plc, 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 SmartSourcing plc’s attention and show the tangible impact of your work.
How to prepare for a job interview at SmartSourcing plc
✨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 SmartSourcing plc.
✨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 SmartSourcing plc.
✨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 SmartSourcing plc.
