At a Glance
- Tasks: Design and maintain data pipelines for mission-critical programmes in the National Security sector.
- Company: Leading defence and technology organisation with a focus on innovation.
- Benefits: Competitive salary, eDV bonus, pension scheme, and generous holiday allowance.
- Other info: Clear progression opportunities and structured training support available.
- Why this job: Work on cutting-edge tech with real-world impact in a collaborative Agile environment.
- Qualifications: Strong analytical skills, Python experience, and knowledge of data processing frameworks.
The predicted salary is between 60000 - 80000 £ per year.
We are partnering with a leading defence and technology organisation to recruit an experienced Senior Data Engineer to join their highly specialised engineering teams across Manchester, Gloucester or London. This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence.
As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing, building and maintaining scalable data platforms and processing pipelines. You will work alongside software engineers, architects and stakeholders to transform and optimise data for advanced analytical and operational use. The team is actively hiring Data Engineers across multiple levels, offering opportunities for both experienced professionals seeking technical leadership and individuals looking to further develop their expertise within a high-performing engineering function.
Please note: Due to the nature of the work, candidates must hold current and active eDV (Enhanced Developed Vetting) clearance.
Key Responsibilities
- Design, develop and maintain robust data pipelines to ingest, clean, transform and aggregate data from a variety of sources.
- Collaborate closely with engineers, technical leads and stakeholders to deliver project objectives.
- Support the successful delivery of project milestones within Agile teams.
- Contribute to continuous improvement initiatives, engineering best practices and team capability development.
- Influence technical direction and contribute to architectural and design decisions.
Required Skills & Experience
- Strong analytical skills with experience working with large-scale and unstructured datasets.
- Python development experience, including technologies such as PySpark, Pandas and PyArrow.
- Expertise in distributed data processing frameworks, particularly Apache Spark.
- Experience building and maintaining ETL pipelines using technologies such as Apache Airflow, AWS Step Functions or Apache NiFi.
- Cloud platform experience across AWS, Azure and/or GCP.
- Knowledge of messaging and streaming technologies including Kafka, AWS SQS or equivalent cloud-native services.
- Strong understanding of SQL and NoSQL databases.
- Experience with modern data storage technologies including HDFS, Iceberg, Elasticsearch, S3 and Data Lake architectures.
- Containerisation and orchestration experience using Docker, Kubernetes and/or OpenShift.
- Knowledge of testing frameworks, engineering standards and software development best practices.
- Experience working with source control systems, branching strategies, pull requests and code review processes.
What's on Offer
- Opportunity to work on highly secure, cutting-edge programmes with real-world impact.
- Exposure to advanced technologies across AI, machine learning, cyber security and data engineering.
- Structured training and development support to help broaden your technical capabilities.
- Clear progression opportunities within a growing and highly regarded engineering function.
- Collaborative Agile environment working alongside some of the industry's leading technical specialists.
Benefits:
- Competitive salary and excellent benefits
- eDV bonus on top of salary and annual bonus
- Company bonus scheme
- Contributory Pension Scheme (up to 10.5% company contribution)
- 6 times salary ‘Life Assurance' with pension
- 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days
If you're an eDV-cleared Data Engineer looking to work on some of the UK's most challenging and rewarding technology programmes, we'd be keen to discuss this opportunity further.
Senior Data Engineer (eDV) in Manchester employer: Frontier Resourcing
Join a leading defence and technology organisation that prioritises innovation and collaboration in a dynamic Agile environment. As a Senior Data Engineer, you'll have the opportunity to work on mission-critical programmes that make a real-world impact, while benefiting from structured training, clear progression paths, and a competitive salary package that includes an eDV bonus and generous pension contributions. With a focus on employee growth and a supportive culture, this is an excellent place for professionals looking to advance their careers in cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (eDV) in Manchester
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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.
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We think you need these skills to ace Senior Data Engineer (eDV) in Manchester
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.
