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- Tasks: Lead teams to design and implement complex data solutions for a major UK Government programme.
- Company: Join Leidos, a passionate team dedicated to customer success and making a difference.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and flexible working options.
- Why this job: Be part of a top-performing team, learn from experts, and make a real impact.
- Qualifications: Experience with AWS/Azure platforms, Power BI, and agile development is essential.
- Other info: SC clearance required; ad-hoc travel may be necessary.
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
- 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 mentoring and coaching
Required skills:
- Experience of setting up and administering AWS or Azure data platforms and analytics services
- Experience of Power BI or Pentaho BA
- Experience of working in an agile software development environment
- Experience estimating task effort and identifying dependencies
- Excellent communication skills
- Familiarity with Python and its numerical, data and machine learning libraries
Desired skills:
- 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
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
Lead Data Engineer employer: Leidos
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 technologies mentioned in the job description, such as AWS, Azure, Power BI, and ETL platforms. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with current employees or professionals in the data engineering field, especially those who have experience with government programmes. They can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your leadership and mentoring experiences, as this role involves leading teams. Think of specific examples where you've successfully guided a team or project, and be ready to share these stories.
✨Tip Number 4
Stay updated on the latest trends in data engineering and analytics. Being able to discuss recent developments or tools in the industry can demonstrate your passion and commitment to continuous learning, which is highly valued in our team.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, software development, and any specific technologies mentioned in the job description, such as AWS, Azure, Power BI, or Python.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your understanding of the role and how you can contribute to the team. Mention your experience with agile environments and your ability to lead teams.
Highlight Relevant Projects: Include specific examples of past projects where you designed and implemented data flows or worked with data analytics solutions. This will help illustrate your hands-on experience and problem-solving abilities.
Showcase Soft Skills: In addition to technical skills, emphasise your communication skills and ability to work collaboratively with diverse teams. Mention any mentoring or coaching experiences to demonstrate your leadership capabilities.
How to prepare for a job interview at Leidos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AWS or Azure data platforms and analytics services. Highlight specific projects where you've implemented complex data flows or built data environments, as this will demonstrate your hands-on expertise.
✨Emphasise Team Leadership Experience
Since the role involves leading and coordinating teams, share examples of how you've set best practices and standards in previous positions. Discuss your approach to mentoring and coaching team members, as this is crucial for the Lead Data Engineer position.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss challenges you've faced in data engineering and how you overcame them. This could include evaluating tools and technologies or developing data migration processes. Showing your proactive approach to problem-solving will impress interviewers.
✨Communicate Clearly and Effectively
Excellent communication skills are essential for this role. Practice articulating your thoughts clearly, especially when discussing technical concepts. Be ready to explain how you would collaborate with delivery managers and external partners to achieve project goals.
