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- Tasks: Lead a team to design and maintain data solutions for a major UK Government programme.
- Company: Leidos is a tech-driven company focused on making the world safer and more efficient.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and flexible working options.
- Why this job: Join a collaborative culture where your skills can shine and make a real impact.
- Qualifications: 5+ years in data engineering with cloud expertise; strong leadership and programming skills required.
- Other info: Diversity is key; we welcome all applications and support reasonable adjustments.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for a Lead Data Engineer to join us on a permanent basis. We need talented individuals to apply their data engineering and software development skills for solving data challenges to support a major UK Government programme from locations throughout the UK. You will work closely with delivery managers, fellow technical specialists, external partners and our customer’s teams to support the discovery, design, delivery and operation of a wide range of data solutions. This position is a full time, permanent role and applicants must have (or be able to acquire) SC clearance. Ad-hoc travel may be required to various customer and Leidos sites.
Your responsibilities will include:
- Lead and co-ordinate teams, setting best practice and standards
- Architect, develop, and maintain robust data pipelines and infrastructure across cloud platforms (AWS, Azure)
- Design and implementation of numerous complex data flows to connect operational systems, data for analytics and business intelligence (BI) systems
- Build, Maintain and Operate Data environments and data-streaming systems
- Recognise and share opportunities to reuse existing data flows between teams
- Being proactive in evaluating and developing tools and technologies in improving the data analytics platforms
- Architect and/or evaluate data analytics solutions, apply knowledge of systems integration
- Supporting the development of data migration, data integration and data processing processes
- Supporting the creation of project plans, identification of risks, and generation of risk mitigation plans
- Provide technical leadership and mentorship to a team of data engineers
- Stay up-to-date with emerging technologies and best practices in data engineering and cloud computing
What are we looking for?
- Proven leadership experience (5+ years) in data engineering, with a focus on cloud technologies (AWS, Azure), and managing and mentoring technical teams
- Experience of setting up and administering AWS or Azure data platforms and analytics services
- Expertise in Pentaho BA for data integration, workflows and ETL processes
- Proficiency in Power BI for creating insightful visualisations and reports
- Solid programming skills in Python and Java, with a focus on data engineering and system integration
- Experience of working in an agile software development environment
- Experience estimating task effort and identifying dependencies
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders
It would be great if you also had:
- Experience of configuring and using ETL platforms such as SSIS, AWS or Azure Data Factory
- Experience of Hadoop and Jenkins
- Azure Certified
- AWS Certified
- Familiarity with Java
- Knowledge of DevOps practices, including CI/CD pipelines
What we do for you:
At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes:
- Contributory Pension Scheme
- Private Medical Insurance
- 33 days Annual Leave (including public and privilege holidays)
- Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme)
- Dynamic Working
Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.
Who We Are: Leidos UK & Europe – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in government, defence, healthcare, safety and security, and transportation.
Contact Detail:
Leidos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, particularly AWS and Azure. Having hands-on experience or relevant certifications can significantly boost your credibility during discussions.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully managed and mentored teams in previous roles. Be ready to discuss your approach to setting best practices and standards in data engineering.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering and cloud computing. Being able to discuss emerging tools and practices will demonstrate your proactive attitude and commitment to continuous learning.
✨Tip Number 4
Prepare to articulate complex technical concepts in a way that non-technical stakeholders can understand. This skill is crucial for the role, so practice explaining your past projects and their impact in simple terms.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your leadership experience in data engineering, particularly with cloud technologies like AWS and Azure. Include specific examples of projects where you led teams or developed data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities outlined in the job description. Mention your experience with tools like Pentaho BA and Power BI, and how you've successfully communicated complex concepts to non-technical stakeholders.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief summary of these projects in your application. Highlight your role, the technologies used, and the impact of your work on the overall project success.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, cloud platforms, and programming languages mentioned in the job description. Be ready to discuss your problem-solving approach and provide examples from your past experiences.
How to prepare for a job interview at Leidos
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your leadership experience. Be prepared to discuss specific examples of how you've led teams, set best practices, and mentored junior engineers in previous roles.
✨Highlight Your Technical Expertise
Make sure to emphasise your proficiency in cloud technologies like AWS and Azure, as well as your experience with data integration tools such as Pentaho BA and ETL processes. Prepare to discuss your programming skills in Python and Java, and how you've applied them in real-world scenarios.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of complex technical challenges you've faced and how you approached them. Be ready to explain your thought process clearly, especially when communicating with non-technical stakeholders.
✨Stay Updated on Emerging Technologies
The field of data engineering is constantly evolving. Show your enthusiasm for learning by discussing recent technologies or trends you've explored. This will demonstrate your proactive approach to staying current and improving data analytics platforms.
