Data Engineers in London

Data Engineers in London

London Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deliver complex data solutions for National Security programmes.
  • Company: Reputable tech consultancy known for technical excellence.
  • Benefits: Professional development, clear progression opportunities, and a dynamic work environment.
  • Other info: Onsite role in Central London with opportunities for hands-on engineering and leadership.
  • Why this job: Make a real impact on critical data capabilities and influence technical direction.
  • Qualifications: Experience in Python, AWS, data architecture, and scalable data pipelines.

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

If you're an experienced Data Engineer looking for more than simply delivering another backlog of tickets, this could be an opportunity to have genuine influence over the technology, the solution and the direction of major National Security programmes. We’re working with a highly regarded specialist technology consultancy operating across Data and National Security. Despite its relatively small size, the business has built a strong reputation for technical excellence and is winning significant programmes against much larger organisations.

As part of continued growth, they are looking for experienced Data Engineers (with current UK security clearance) to play a key role in designing and delivering complex data solutions. Our client is open to Data Engineers of all levels and clearance status. Our client will actively put you through the right level of security clearance. This role is onsite, 4-5 days a week in Central London.

The Opportunity

This is not a role where you will be one engineer among hundreds. You’ll work closely with customers and internal technical teams to understand complex challenges, define the right technical approach and take ownership of the solution from design through to delivery. Depending on the programme, you may be involved in architectural decisions, technical leadership, hands-on engineering and mentoring others. You’ll have the opportunity to engage directly with senior customer stakeholders and influence how critical data capabilities are developed.

What You’ll Bring

  • Strong experience across several of the following areas:
  • Python software development
  • AWS and cloud-based data technologies
  • Designing and building scalable data pipelines
  • ETL and ELT processes
  • Data architecture and data modelling
  • Distributed data processing
  • Cloud-native engineering
  • CI/CD pipelines and automated deployment
  • Infrastructure as Code
  • Technical solution design

You’ll remain close to the technology, but you should also be comfortable taking a broader view of a problem and helping to shape the technical solution.

Why Consider It?

  • Significant influence over technical direction and solution design
  • Opportunity to work directly with senior customer stakeholders
  • High-impact National Security programmes
  • A technically strong SME environment with less bureaucracy
  • Exposure to complex Data and Geospatial challenges
  • Strong investment in professional development
  • Clear opportunities to progress as the organisation continues to expand
  • The chance to combine hands-on engineering with technical leadership

Data Engineers in London employer: Frontier Resourcing

Join a leading high-tech defence organisation in Bristol, where innovation meets purpose. As a Systems Architect in Electronic Warfare, you will thrive in a collaborative work culture that values technical excellence and offers ample opportunities for professional growth. With a focus on cutting-edge technology and a commitment to employee development, this role provides a unique chance to contribute to vital defence systems while enjoying the benefits of a supportive and dynamic team environment.

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Contact Details:

Frontier Resourcing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineers in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Frontier Resourcing!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineers at Frontier Resourcing.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Frontier Resourcing.

Apply Directly through Our Website

When you find a suitable opening like Data Engineers at Frontier Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineers in London

Python
Communication Skills
Problem-Solving Skills
Data Engineering
SQL
ETL/ELT Processes
Data Pipeline Development

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Frontier Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Frontier Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Frontier Resourcing

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Frontier Resourcing!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.