At a Glance
- Tasks: Lead the development of scalable data pipelines and mentor junior engineers.
- Company: Join a major Central Government programme with a focus on innovation.
- Benefits: Competitive day rate, primarily remote work, and potential for contract extension.
- Other info: Ideal for those with active SC clearance and a passion for data engineering.
- Why this job: Make a real impact in government projects while advancing your career.
- Qualifications: Strong Java/Python skills and experience with Kafka, Kubernetes, and AWS.
The predicted salary is between 40500 - 49500 £ per year.
Location: Primarily Remote (Occasional Onsite Meetings)
Contract: 5 Months Initially (Potential Extension)
Day Rate: £600-£625 per day
Start Date: ASAP
IR35 Status: Inside IR35
Clearance: Active SC Clearance Essential
Role Overview
We are seeking an experienced Lead Data Engineer to support a major Central Government programme. The role will focus on developing and maintaining core data pipelines, streaming data into downstream products and leading engineering delivery.
Key Responsibilities
- Design, develop and maintain scalable data pipelines.
- Lead technical delivery and support architectural decisions.
- Establish engineering standards and best practices.
- Mentor junior engineers while remaining hands-on with development.
- Support the delivery of reliable, secure data solutions.
Essential Skills & Experience
- Strong experience in Java and/or Python.
- Hands-on expertise with Kafka, Kubernetes and AWS.
- Experience with Terraform and CI/CD pipelines (ideally Drone).
- Proven experience leading data engineering teams.
- Previous Central Government experience.
- Active SC clearance.
Lead Data Engineer employer: SR2 Careers
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact large-scale IT and digital transformation projects. With a strong focus on employee growth, you will have access to continuous professional development opportunities while enjoying the flexibility of hybrid working in the vibrant city of London. This role not only provides competitive compensation but also places you at the forefront of cutting-edge technology initiatives, making it an exciting and rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨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 SR2 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 SR2 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 SR2 Careers.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at SR2 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 SR2 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 SR2 Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at SR2 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 SR2 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 SR2 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 SR2 Careers.
