At a Glance
- Tasks: Build data foundations for customer analytics and AI products using AWS services.
- Company: Join Microlise, a leader in cloud data solutions.
- Benefits: 12-month contract with competitive pay and opportunities for growth.
- Other info: Dynamic role with a focus on innovative lakehouse architectures.
- Why this job: Make a real impact by transforming diverse data into trusted products.
- Qualifications: Experience with AWS and data engineering principles required.
The predicted salary is between 63000 - 77000 £ per year.
Microlise is seeking a Senior AWS Data Engineer for a 12-month fixed-term contract to build data foundations for customer analytics and AI products.
You will work on a major cloud data platform programme, turning diverse data into trusted, reusable data products powering dashboards, APIs and self-service analytics.
You'll leverage AWS services, lakehouse architectures and governance-by-design patterns to ensure data is reliable, discoverable and secure, enabling impactful customer outcomes.
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Senior AWS Data Platform Engineer: Lakehouse & AI employer: Energy Jobline CVL
Join a reputable contractor as a Gas Engineer in Newark-on-Trent, where you'll enjoy a supportive work culture and the stability of ongoing projects within social housing. With competitive pay, immediate start opportunities, and a focus on employee growth through consistent work, this role offers a meaningful chance to make a difference in the community while developing your skills in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AWS Data Platform Engineer: Lakehouse & AI
✨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 Energy Jobline CVL 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 Energy Jobline CVL.
✨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 Energy Jobline CVL.
We think you need these skills to ace Senior AWS Data Platform Engineer: Lakehouse & AI
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Energy Jobline CVL, 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 Energy Jobline CVL, 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 Energy Jobline CVL’s attention and show the tangible impact of your work.
How to prepare for a job interview at Energy Jobline CVL
✨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 Energy Jobline CVL.
✨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 Energy Jobline CVL.
✨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 Energy Jobline CVL.
