Data Engineer in City of London

Data Engineer in City of London

City of London Temporary 45000 - 55000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Build and support ETL pipelines to transform data efficiently.
  • Company: Secure public-sector environment with a focus on data integrity.
  • Benefits: Hybrid working, competitive pay, and the chance to make a real impact.
  • Other info: Opportunity to work with cutting-edge tools in a secure setting.
  • Why this job: Join a mission-driven team and enhance your data engineering skills.
  • Qualifications: Proven ETL experience and a strong track record in data engineering.

The predicted salary is between 45000 - 55000 £ per year.

  • Data Engineer
  • London (Hybrid)
  • 6 months
  • Inside IR35 - umbrella only
  • Active SC clearance required

If you're a data engineer who enjoys turning data into reliable pipelines and usable datasets, this is a great chance to make an impact in a secure, public-sector environment.

What you'll be doing

  • Building and supporting ETL pipelines to move and transform data efficiently
  • Developing reliable data flows that help teams access the right information at the right time
  • Working within a secure environment, following relevant controls and best practices
  • Helping ensure data quality and consistency across downstream usage

What you'll bring

  • Proven experience with ETL
  • Demonstrable experience in data engineering (with a strong track record in building and maintaining data pipelines)

Additional information

  • Nice to have: experience with IBM Data Stage
  • Nice to have: experience with Oracle databases
  • Nice to have: experience working within a secure environment
  • #J-18808-Ljbffr

Data Engineer in City of London employer: Experis Austria

Experis Austria is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a focus on employee growth, we provide ample opportunities for professional development and skill enhancement, ensuring that our team members thrive in their careers while contributing to impactful projects in the oil and gas sector. Our hybrid work model promotes a healthy work-life balance, making it an ideal environment for those seeking meaningful and rewarding employment.

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Contact Details:

Experis Austria Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in City of 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 Experis Austria 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 Experis Austria.

✨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 Experis Austria.

We think you need these skills to ace Data Engineer in City of London

Python
Communication Skills
SQL
Data Governance
Data Engineering
Data Pipeline Development
Data Quality Assurance

Some tips for your application 🫡

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

How to prepare for a job interview at Experis Austria

✨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 Experis Austria.

✨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 Experis Austria.

✨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 Experis Austria.