At a Glance
- Tasks: Design and build data applications and pipelines for Defence programmes.
- Company: Fast-growing technical consultancy with a focus on data, AI, and software solutions.
- Benefits: Competitive salary, private healthcare, 25 days holiday, and a collaborative work environment.
- Other info: Opportunity for travel across the UK with full expenses covered.
- Why this job: Work on cutting-edge technology and tackle real-world challenges in Defence and National Security.
- Qualifications: Experience in Python, SQL, and data-intensive applications; degree in relevant field preferred.
The predicted salary is between 63000 - 77000 £ per year.
Newcastle – on-site role, expensed wider travel required
Up to £105,000 DoE + package
Active SC or DV Clearance required
2-stage virtual interview process
Experience required in Python, SQL, Spark, Databricks and Customer Consultancy
We're working with a fast-growing, high-performing technical consultancy seeking an experienced Data Engineer to join a team specialising in data, AI and software solutions across Defence and financial services. Headquartered in Newcastle, the business brings together high-calibre technical talent to solve complex problems in demanding environments. They have a growing international footprint and are building a team of engineers working on cutting-edge technology for Defence and National Security.
The Role
You'll play a key role in building the data foundations that Defence programmes depend on, working across projects ranging from production data pipelines and applications to POCs and making sensitive or hard-to-reach data usable in operational environments. This is a hands-on role with exposure across the data engineering stack and the opportunity to work on technically challenging, real-world problems.
Responsibilities
- Design and build data-intensive applications and pipelines, from ingestion through to consumption
- Test, troubleshoot and improve data quality, reliability and performance
- Provide technical expertise across projects and client engagements
- Work flexibly across evolving project requirements
- Collaborate with engineers and share technical knowledge
What We're Looking For
- Experience designing and building data-intensive applications and pipelines
- Strong programming skills in Python and SQL or similar
- Experience with technologies such as Spark, Databricks, AWS, Azure, GCP and/or Airflow
- Strong focus on data quality, testing and reliability
- Solid software engineering fundamentals and high engineering standards
- Strong communication and collaborative skills
- Comfortable working with ambiguity while remaining outcome-focused
- 1st or 2:1 degree in Computer Science, Mathematics, Engineering, Physics or related discipline
- Defence/National Security experience advantageous
What's on Offer
- Build production-grade data engineering capabilities across the full stack
- Exposure to a wide range of technologies and technically challenging problems
- Learn from experienced data and software engineers
- Collaborative, low-ego engineering environment
- 25 days holiday + bank holidays
- Up to 6% matched pension
- Private healthcare
- Discretionary bonus
Consultancy & Travel
The role involves working with Defence clients across the UK, with assignments potentially requiring 2–3 days per week on client site or shorter periods of full-time travel. Client locations can include Cheltenham, Bristol, Glasgow, Portsmouth and other UK Defence hubs, with full travel expenses and hotel accommodation provided.
To be Considered:
Please either apply through this advert or email me directly via dillon.lewis@searchability.com. For further information, please call me on 07842 002256. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
Data Engineer in Newcastle upon Tyne employer: Searchability NS&D
As a leading organisation in cyber security and technology transformation, our client offers an exceptional work environment in London, where you can engage with high-impact Defence and National Security programmes. With a strong focus on professional development, flexible working arrangements, and the opportunity to collaborate with seasoned experts, this role promises not only career progression but also the chance to tackle complex challenges that make a real difference in securing sensitive environments.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨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 Searchability NS&D!
✨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 Searchability NS&D.
✨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 Searchability NS&D.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Searchability NS&D, 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 Newcastle upon Tyne
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 Searchability NS&D, 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 Searchability NS&D. 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 Searchability NS&D
✨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 Searchability NS&D!
✨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.
