At a Glance
- Tasks: Design and develop scalable data solutions using cutting-edge technologies.
- Company: Join a high-profile programme with a focus on modern cloud-based environments.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior engineers and drive innovation.
- Why this job: Make a real impact by unlocking the value of data for organisations.
- Qualifications: Strong experience in Data Engineering and proficiency in Java, AWS, and Kafka.
- Data Engineer / SC Cleared
- £390 - £500 per day (Inside IR35/Umbrella)
Duration
14 Months (60 Weeks)
Location
Hybrid from either Newcastle, London, Manchester or Glasgow (2-3 days per week)
Start
- ASAP
- We are looking for an experienced
Data Engineer to join a high-profile programme, delivering scalable and robust data solutions within a modern cloud-based environment.
This is an excellent opportunity to work with cutting-edge technologies including
AWS, Kafka, Kubernetes, Java, and Big Data platforms , helping organisations unlock the value of their data.
The Role
As a Data Engineer, you'll be responsible for designing, developing, and maintaining data solutions that support data generation, collection, processing, and consumption across the organisation.
You'll work closely with technical and business stakeholders to build high-performing data pipelines, ensure data quality, and deliver reliable ETL processes.
This role requires someone who can provide technical leadership, contribute to key architectural decisions, and collaborate effectively across multiple teams while mentoring junior engineers.
Key Responsibilities
- Design, develop, and maintain scalable data engineering solutions.
- Build and optimise data pipelines to support large-scale data processing.
- Implement ETL processes to migrate, transform, and deploy data across multiple platforms.
- Ensure the quality, accuracy, and reliability of data across the estate.
- Collaborate with cross-functional teams to understand business requirements and deliver effective data solutions.
- Monitor, troubleshoot, and improve pipeline performance and stability.
- Contribute to technical design discussions and key project decisions.
- Act as a subject matter expert within the data engineering capability.
- Mentor and support junior team members, promoting best practices and knowledge sharing.
- Stay current with emerging technologies and industry trends to drive continuous improvement.
- Required Skills & Experience
- Strong commercial experience in
Data Engineering .
- Expert-level proficiency in
Java .
- Advanced experience with
Amazon Web Services (AWS) .
- Advanced experience with
Apache Kafka .
- Advanced experience with
Kubernetes .
- Experience working with
Big Data technologies and engineering practices.
- Proven experience building and maintaining enterprise-scale data pipelines.
- Strong understanding of data modelling, ETL frameworks, and data quality management.
- Experience working within Agile delivery environments.
- Excellent stakeholder management and communication skills.
Data Engineer I SC Cleared employer: Matchtech Careers
As a Business Reporting Analyst with our client, you will thrive in a dynamic work culture that values collaboration and innovation. The company offers excellent employee growth opportunities through continuous training and development, alongside competitive benefits that support work-life balance. Located in a vibrant area, this role not only allows you to make a meaningful impact on business decisions but also provides a supportive environment where your contributions are recognised and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer I SC Cleared
✨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 Matchtech 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 Matchtech 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 Matchtech Careers.
We think you need these skills to ace Data Engineer I SC Cleared
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Matchtech 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 Matchtech 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 Matchtech Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Matchtech 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 Matchtech 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 Matchtech 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 Matchtech Careers.
