At a Glance
- Tasks: Design and optimise cloud-based data pipelines using AWS services.
- Company: Opus Recruitment Solutions, a leader in tech recruitment.
- Benefits: Hybrid work model, competitive pay, and potential for contract extension.
- Other info: Opportunity to work on impactful projects in a collaborative environment.
- Why this job: Join a dynamic team and enhance your skills in cloud analytics.
- Qualifications: Experience with AWS and data engineering is essential.
The predicted salary is between 60750 - 74250 £ per year.
Opus Recruitment Solutions is seeking an experienced AWS Data Engineer for a contract (Outside IR35) role in Oxford.
The position is hybrid, with 2 days on site per week, and runs for 6 months with a likely extension.
You will design, build and optimise cloud-based data pipelines, focusing on AWS services, data modelling and pipeline performance to support business reporting and analytics.
Collaborate with engineering stakeholders to deliver reliable data solutions and maintain data
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AWS Data Engineer - Cloud Pipelines & Analytics (Hybrid) in Oxford employer: Opus Recruitment Solutions
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions as a ServiceNow Mapping Product Lead will directly impact large-scale digital transformation initiatives. With a focus on employee growth, we provide ample opportunities for professional development and the chance to work alongside industry leaders in a hybrid environment that promotes work-life balance. Our commitment to excellence and support for your career aspirations make us an exceptional employer in the tech landscape.
Contact Details:
Opus Recruitment Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer - Cloud Pipelines & Analytics (Hybrid) in Oxford
✨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 AWS Data Engineer - Cloud Pipelines & Analytics (Hybrid) in Oxford
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.
