Data Engineer in Derby

Data Engineer in Derby

Derby Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Expleo Group

At a Glance

  • Tasks: Design and deploy data solutions, ensuring accuracy and performance in aerospace systems.
  • Company: Join Expleo, a dynamic tech company focused on innovation and collaboration.
  • Benefits: Enjoy a supportive environment, competitive benefits, and opportunities for skill development.
  • Other info: Inclusive workplace committed to diversity and continuous improvement.
  • Why this job: Make an impact in aerospace engineering while working with cutting-edge technology.
  • Qualifications: Degree in relevant field and strong Python and SQL skills required.

The predicted salary is between 40000 - 50000 £ per year.

Expleo is seeking a Data Engineer / Data Scientist with a strong background in IT quality, testing, and aerospace engineering to join our dynamic team in Derby. This role is ideal for someone who thrives in high-integrity environments and is passionate about ensuring data accuracy, reliability, and performance in mission-critical systems. You'll work at the intersection of Python development, data validation, and engineering analytics, supporting aerospace programmes with cutting-edge tools and methodologies.

Responsibilities

  • Rapidly design, configure & deploy EHM solutions to support the service and improve its effectiveness.
  • Capture requirements for EHM improvements through Value Delivery Board, Project Zero and any other relevant forums.
  • Design and implement automated testing frameworks to validate data pipelines and ensure compliance with aerospace standards.
  • Develop and maintain Python scripts for data validation, anomaly detection, and quality assurance.
  • Analyse complex datasets to identify trends, inconsistencies, and optimisation opportunities.
  • Collaborate with engineering and IT teams to define data requirements, testing protocols, and quality benchmarks.
  • Respond to in-service issues by reconfiguring live data streams and deploying new analytics to maintain fleet-level data integrity.
  • Drive continuous improvement initiatives, embedding best practices in IT quality and testing across the data lifecycle.
  • Work with customers to enhance the value of EHM services & identify future EHM opportunities.

Qualifications

  • Degree in Aero Engineering, Data Science, Computer Science, Data Engineering or relevant experience in EHM service, engine performance or service engineering or a related field.

Essential skills

  • Python expertise - able to design, test, and optimise robust scripts and frameworks for data analysis, automation, and quality assurance.
  • Strong proficiency in SQL for querying, manipulation, and quality assurance.
  • Solid understanding of IT quality principles, testing methodologies, and defect management.
  • Strong analytical and problem-solving skills, with attention to detail and ability to meet tight deadlines.
  • Excellent communication and collaboration skills across technical and non-technical teams.
  • Familiarity with Azure cloud-based data platforms is desirable.
  • Focused on results, able to work under pressure, equally capable of managing short term deadlines and long-term projects.
  • Positive attitude to work, strong team working skills and ethical behaviour, being able to work with minimum supervision.
  • Strong IT user & configuration skills (to include applications such as SQL, Power BI, Matlab, Python, MS Azure, Databricks).

Experience

  • Knowledge of statistical analysis and data modelling techniques.
  • Experience with data quality monitoring tools or test automation frameworks.
  • Experience with MATLAB or similar engineering analysis tools is preferred.
  • Aerospace or engineering sector experience, ideally in Engine Health Monitoring, Engine Performance, or Service Engineering.
  • Proven experience in testing & validation - building automated checks, ensuring data integrity, and applying Python in complex engineering or aerospace contexts.

Benefits

  • Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges.
  • We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects.
  • Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
  • Competitive company benefits.
  • Always working as one team, our people are not afraid to think big and challenge the status quo.

As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible. Communicating and promoting vacancies. Offering an interview to disabled people who meet the minimum criteria for the job. Anticipating and providing reasonable adjustments as required. Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Data Engineer in Derby employer: Expleo Group

Expleo is an exceptional employer that fosters a collaborative and inclusive work culture in Derby, where technology enthusiasts can thrive. With a strong commitment to employee development through the Expleo Academy, we empower our team members to enhance their skills while working on inspiring aerospace projects. Our focus on diversity and support for all employees, including those with disabilities, ensures a rewarding and meaningful work environment.

Expleo Group

Contact Details:

Expleo Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Derby

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 Expleo Group!

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 Expleo Group.

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 Expleo Group.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Expleo Group, 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 in Derby

SQL
Python
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Data Engineering
API Integration

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 Expleo Group, 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 Expleo Group. 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 Expleo Group

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 Expleo Group!

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.