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- Tasks: Lead a team to solve data challenges 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 benefits.
- Why this job: Be part of a collaborative culture that nurtures your career goals and work-life balance.
- Qualifications: 5+ years in data engineering with cloud tech expertise; leadership experience required.
- Other info: SC clearance needed; ad-hoc travel may be required.
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
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 cloud technologies mentioned in the job description, particularly AWS and Azure. Consider taking online courses or certifications to deepen your understanding, as this will not only boost your confidence but also demonstrate your commitment to potential employers.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience working on government projects. Attend industry meetups or webinars to connect with others and gain insights into best practices and emerging trends that could be beneficial for your application.
✨Tip Number 3
Showcase your leadership skills by seeking opportunities to lead projects or mentor junior engineers in your current role. Highlight these experiences in conversations during interviews to illustrate your capability to manage teams and drive successful outcomes.
✨Tip Number 4
Stay updated on the latest tools and technologies in data engineering and cloud computing. Follow relevant blogs, podcasts, or forums to keep your knowledge fresh, and be prepared to discuss how you can apply these innovations to improve data analytics platforms during your interview.
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've led teams or implemented 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 can contribute to the team.
Showcase Technical Skills: Clearly list your technical skills relevant to the role, such as programming in Python and Java, and experience with ETL processes. Highlight any certifications you have, like Azure or AWS certifications, as these are highly valued.
Demonstrate Problem-Solving Abilities: Provide examples in your application that showcase your problem-solving skills, especially in complex data environments. Discuss how you've communicated technical concepts to non-technical stakeholders in previous roles.
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 programming skills in Python and Java. Prepare to discuss your experience with data integration tools such as Pentaho BA and ETL processes.
✨Communicate Complex Concepts Simply
You'll often need to explain technical details to non-technical stakeholders. Practice articulating complex data engineering concepts in a straightforward manner, using relatable analogies or examples to ensure clarity.
✨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, and how they could potentially benefit the company’s data solutions.
