At a Glance
- Tasks: Design and develop data solutions to support national security initiatives.
- Company: BAE Systems Digital Intelligence, a leader in digital and cyber solutions.
- Benefits: 25 days holiday, flexible working, private medical insurance, and career development support.
- Other info: Hybrid working options available; inclusive culture promoting diversity.
- Why this job: Make a real impact on national security while working with cutting-edge technology.
- Qualifications: Experience in data engineering, Python programming, and ETL tools required.
The predicted salary is between 60000 - 70000 £ per year.
About The Company
BAE Systems Digital Intelligence is a leading provider of digital, cyber, and intelligence solutions, employing over 4,500 experts across ten countries. The organization specializes in collecting, connecting, and analyzing complex data to deliver actionable insights for governments, armed forces, and commercial enterprises. With a focus on security and innovation, BAE Systems Digital Intelligence supports clients in navigating the most demanding environments, safeguarding critical assets, and maintaining national security. The company prides itself on fostering a collaborative and inclusive culture, emphasizing continuous learning and professional development to stay at the forefront of technological advancements.
About The Role
We are seeking experienced Data Engineers to join BAE Systems Digital Intelligence as part of our expanding team. In this role, you will be instrumental in designing, developing, testing, and supporting data collection, integration, and ETL applications. Your work will facilitate the availability of vital data to key stakeholders and technical interfaces, enabling informed decision-making and operational efficiency. You will model data requirements, sources, and flows to bring structure to complex programs, ensuring the proper lifecycle management of corporate data assets. The role offers hybrid working arrangements, with locations in London or Manchester, and is suitable for both full-time and part-time applicants. This position provides an exciting opportunity to contribute to national security initiatives while working within a dynamic and innovative environment.
Qualifications
- The ideal candidate will possess a strong background in data engineering, analysis, or science, with proficiency in programming languages such as Python and experience with Big Data tools.
- Demonstrable experience in using ETL tools and open-source data engineering platforms is essential, along with the ability to evaluate and recommend appropriate solutions for various client problems.
- A solid understanding of database concepts, including unstructured, NoSQL, and big data platforms, is required.
- Familiarity with data modeling techniques and data governance principles will be advantageous.
- Previous experience working in cyber security or intelligence domains is desirable but not mandatory.
- Candidates must also meet security clearance requirements, including holding an active eDV clearance before application.
Responsibilities
- Design, develop, test, and maintain data collection, integration, and ETL applications to ensure data availability and integrity.
- Model data requirements, sources, and flows to bring clarity and structure to complex data programs.
- Define data creation, management, and destruction processes to maintain control over data lifecycle.
- Utilize a range of data products and tools to collect, store, visualize, and govern data and metadata effectively.
- Develop and define metadata schemas to enhance searchability and governance, including records management for unstructured data.
- Collaborate with cross-functional teams to implement scalable data solutions aligned with organizational standards and security protocols.
- Evaluate emerging open-source and commercial data engineering tools, providing recommendations based on client needs and technical feasibility.
- Ensure compliance with data security policies and support data governance initiatives across projects.
Benefits
BAE Systems Digital Intelligence offers a comprehensive benefits package designed to support your well-being and professional growth. You will enjoy 25 days of holiday annually, with options to buy, sell, or carry over days from previous years. The organization promotes work-life balance through flexible working arrangements, including hybrid working models that combine remote and office-based work. Employees have access to private medical and dental insurance, a competitive pension scheme, and additional perks such as cycle-to-work schemes and taste cards. Dedicated career managers are available to guide your development, and you will be eligible to participate in the company bonus scheme. The organization also encourages participation in Employee Resource Groups, fostering an inclusive environment that supports diversity and well-being.
Equal Opportunity
BAE Systems Digital Intelligence is committed to fostering an inclusive and diverse workforce. We welcome applicants from all backgrounds and are dedicated to ensuring equal employment opportunities. Our recruitment processes are designed to be fair and accessible, and we encourage individuals with disabilities or health conditions to apply. If adjustments are needed during the application or interview process, please speak to our recruitment team. We believe that diverse perspectives and experiences enhance our ability to deliver innovative solutions and achieve excellence in our work.
Data Engineer in Manchester employer: Netrolynx AI
Netrolynx AI is an excellent employer, offering a dynamic and innovative work environment in Newport where creativity thrives. With a strong emphasis on professional growth, employees benefit from comprehensive training opportunities and a supportive culture that values work-life balance. The competitive salary and benefits package further enhance the appeal of joining a forward-thinking team dedicated to leveraging cutting-edge technology.
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We think this is how you could land Data Engineer in Manchester
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We think you need these skills to ace Data Engineer in Manchester
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✨Brush Up on Your Statistics
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✨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.
