Hybrid Cloud Data Engineer (Python) - Pipelines & MLOps in London

Hybrid Cloud Data Engineer (Python) - Pipelines & MLOps in London

London Temporary 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and maintain scalable data pipelines in a dynamic AWS cloud environment.
  • Company: Join SmartSourcing Ltd, a forward-thinking tech company with a collaborative spirit.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: This is a 12-month fixed-term contract with great potential for career advancement.
  • Why this job: Make an impact by delivering reliable data solutions and collaborating with talented teams.
  • Qualifications: Experience in Python and knowledge of data engineering principles required.

The predicted salary is between 63000 - 77000 £ per year.

Smart Sourcing Ltd is seeking a Cloud Data Engineer (Python) for a 12-month fixed-term contract.

This hybrid role offers a London/Mancunian/UK-wide office location spread and focuses on end-to-end data solutions in an AWS cloud environment.

You will design, build and maintain scalable data pipelines, implement Ia C and MLOps workflows, and collaborate with data scientists and engineers to deliver reliable data infrastructure and analytics tools.

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Hybrid Cloud Data Engineer (Python) - Pipelines & MLOps in London employer: SmartSourcing Ltd

As a Brand Strategist with our public sector client in London, you will be part of a dynamic team dedicated to shaping and protecting a unique brand that serves the community. The company fosters a collaborative work culture that values innovation and creativity, offering flexible hybrid working arrangements that promote work-life balance. With a commitment to employee growth, you will have access to professional development opportunities that empower you to excel in your role and make a meaningful impact on government services.

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Contact Details:

SmartSourcing Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Cloud Data Engineer (Python) - Pipelines & MLOps in London

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 SmartSourcing Ltd 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 SmartSourcing Ltd.

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 SmartSourcing Ltd.

We think you need these skills to ace Hybrid Cloud Data Engineer (Python) - Pipelines & MLOps in London

Python
AWS
Data Pipeline Design
Infrastructure as Code (IaC)
MLOps
Collaboration
Data Infrastructure Management

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at SmartSourcing Ltd, 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 SmartSourcing Ltd, 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 SmartSourcing Ltd’s attention and show the tangible impact of your work.

How to prepare for a job interview at SmartSourcing Ltd

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 SmartSourcing Ltd.

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 SmartSourcing Ltd.

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 SmartSourcing Ltd.