Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data flows, maintain data environments, and optimise analytics processes.
- Company: Leidos is a leading company focused on customer success and innovative solutions.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and flexible working options.
- Why this job: Join a passionate team, make a difference, and grow your career in a collaborative culture.
- Qualifications: Experience with ETL platforms, AWS or Azure, and strong communication skills 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 Senior Data Engineer to join us on a permanent basis. We need talented individuals to apply their software development and data engineering skills for solving data challenges to support a major UK Government programme from locations throughout the UK. 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.
THE ROLE
You will work closely with data engineers, 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. It is a great place to be able to use your skills, learn from others and form one of the best performing teams in the business.
What will I be doing?
- Design and lead the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems
- Build, Maintain and Operate Data environments and data-streaming systems
- Debug, resolve and optimise data processing and analytics issues
- Being proactive in evaluating and developing tools and technologies in improving the data analytics platforms
- Architect and/or evaluate data analytics solutions
- Lead work on database management
- 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
What does Leidos need from me?
- Experience of configuring and using ETL platforms such as SSIS, AWS or Azure Data Factory
- Experience of setting up and administering AWS or Azure data platforms and analytics services, including 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
It would be great if you also had:
- 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
Senior Data Engineer employer: Leidos
Contact Detail:
Leidos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific ETL platforms mentioned in the job description, such as SSIS, AWS, or Azure Data Factory. Having hands-on experience or even completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Network with current or former employees of Leidos, especially those in data engineering roles. They can provide insights into the company culture and expectations, which can help you tailor your approach when you apply.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering, particularly around cloud platforms like AWS and Azure. Being able to discuss recent advancements or tools can demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare for potential technical interviews by practising common data engineering problems and scenarios. Focus on your problem-solving skills and be ready to explain your thought process clearly, as communication is key in this role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with ETL platforms like SSIS, AWS, or Azure Data Factory. Emphasise your familiarity with Python and any experience in agile environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the role. Mention specific projects where you've successfully implemented data solutions or optimised data processing.
Highlight Certifications: If you have any relevant certifications, such as Azure or AWS certifications, make sure to include them prominently in your application. This can set you apart from other candidates.
Showcase Communication Skills: Since excellent communication skills are essential for this role, consider including examples of how you've effectively communicated complex data concepts to non-technical stakeholders in your application.
How to prepare for a job interview at Leidos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL platforms like SSIS, AWS, or Azure Data Factory. Highlight specific projects where you've successfully implemented data flows and managed data environments.
✨Demonstrate Problem-Solving Abilities
Expect questions about how you've debugged and optimised data processing issues in the past. Share examples that illustrate your proactive approach to evaluating and developing tools for data analytics.
✨Communicate Effectively
Since excellent communication skills are a must, practice articulating complex technical concepts in simple terms. Be ready to explain how you collaborate with cross-functional teams and external partners.
✨Familiarity with Agile Methodologies
Discuss your experience working in an agile environment. Be prepared to talk about how you estimate task efforts, identify dependencies, and contribute to project planning and risk management.
