At a Glance
- Tasks: Design and build data pipelines for complex datasets and support analytics and AI workflows.
- Company: Join a collaborative engineering team focused on innovative technology solutions.
- Benefits: Competitive salary, learning opportunities, and a supportive work environment.
- Other info: Opportunity to influence data architecture and grow within a dynamic team.
- Why this job: Work on impactful projects and shape the future of data technology.
- Qualifications: Strong data modelling skills and a collaborative mindset are essential.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Data Engineer to help build reliable, scalable data platforms that support real‑world decision making across advanced technology and secure environments. This role is ideal for someone who enjoys solving complex data problems, working across a variety of technologies, and contributing to projects involving analytics, machine learning and AI. You will join a collaborative, hands‑on engineering team where curiosity, ownership and clear communication are highly valued.
What you will be doing:
- Designing and building data pipelines for ingesting, transforming and processing complex datasets
- Working with both structured and unstructured data sources
- Supporting analytics, machine learning and AI workflows with trusted, timely data
- Collaborating with engineers, analysts and project stakeholders to deliver practical solutions
- Breaking work into manageable, testable increments and contributing to an agile delivery approach
- Continuously improving data quality, reliability and operational efficiency
Essential skills and experience:
- Strong understanding of data modelling, processing and transformation
- Comfortable working with structured and unstructured data
- Ability to learn new tools and adapt to unfamiliar technical domains
- Clear communication skills and a collaborative mindset
- Experience contributing to team ceremonies and delivery activities
- Ability to work independently and deliver incrementally
Desirable skills and experience:
- Experience with Python, SQL, Spark or similar technologies
- Knowledge of data pipelines, batch processing or streaming architectures
- Exposure to cloud platforms and/or secure environments
- Experience working on exploratory, R&D or early-stage projects
- Interest in AI-enabled systems, public sector technology or national security programmes
- Desire to influence data architecture, delivery planning and team growth
Why apply?
- Work on technically interesting projects with real operational impact
- Gain exposure to modern data, analytics and AI technologies
- Join a supportive engineering team with a strong learning culture
- Opportunity to shape solutions rather than simply maintain existing systems
If you are a data engineer who enjoys tackling complex challenges and wants to work on meaningful technology projects, we would be pleased to hear from you.
Data Engineer employer: Frontier Resourcing
Join a dynamic and ambitious organisation in the UK defence sector, where the People function is seen as a vital strategic partner. With a hybrid working model based in Leicester, you will enjoy an excellent salary, bonus opportunities, and a unique 9-day fortnight schedule that promotes work-life balance. This role offers significant growth potential, allowing you to shape the organisational culture and leadership capabilities while collaborating with a committed senior leadership team focused on continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Engineer 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 Engineer 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 Engineer
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.
