At a Glance
- Tasks: Build scalable data pipelines and modernise ETL processes in a remote-first role.
- Company: Opus Recruitment Solutions, a leader in tech recruitment.
- Benefits: Competitive pay of up to £425 per day and flexible remote work.
- Other info: Ideal for London-based candidates with occasional travel to Newcastle or Leeds.
- Why this job: Join a dynamic team and enhance your skills in AWS data engineering.
- Qualifications: Active SC Clearance and experience in data engineering required.
The predicted salary is between 50000 - 65000 £ per year.
Opus Recruitment Solutions is seeking an experienced AWS Data Engineer for a 6-month contract role. This remote-first position requires Active SC Clearance and is ideal for London-based candidates willing to travel infrequently for meetings in Newcastle or Leeds.
The role focuses on building scalable data pipelines and modernising ETL processes. Compensation is up to £425 per day, Inside IR35. Candidates with relevant experience and aspirations for a mid to senior-level role are encouraged to apply immediately.
Remote AWS Data Engineer | SC Clearance | ETL Pipelines employer: Opus Recruitment Solutions
At Opus Recruitment Solutions, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a remote-first employer, we offer flexibility and the opportunity to work on cutting-edge projects while providing access to professional development resources that support your career growth. Join us and be part of a team that values innovation and collaboration, all while enjoying the convenience of working from home with occasional travel to vibrant cities like Newcastle and Leeds.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Remote AWS Data Engineer | SC Clearance | ETL Pipelines
✨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 Opus Recruitment Solutions 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 Opus Recruitment Solutions.
✨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 Opus Recruitment Solutions.
We think you need these skills to ace Remote AWS Data Engineer | SC Clearance | ETL Pipelines
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Opus Recruitment Solutions, 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 Opus Recruitment Solutions, 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 Opus Recruitment Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Opus Recruitment Solutions
✨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 Opus Recruitment Solutions.
✨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 Opus Recruitment Solutions.
✨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 Opus Recruitment Solutions.
