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For Companies At a Glance
- Tasks: Design and implement data flows, maintain data environments, and optimise analytics processes.
- Company: Leidos is a leading company passionate about customer success and team collaboration.
- Benefits: Enjoy 33 days annual leave, private medical insurance, and flexible working options.
- Why this job: Join a top-performing team, learn from experts, and make a real impact on UK Government projects.
- Qualifications: Experience with ETL platforms, AWS or Azure, and strong communication skills are 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 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
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 to gain insights into their work culture and expectations. This can help you tailor your approach and demonstrate your genuine interest in the company during interviews.
✨Tip Number 3
Stay updated on the latest trends and technologies in data engineering, especially those related to cloud platforms like AWS and Azure. Being able to discuss recent advancements or tools can showcase your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss your experience in agile environments and how you've contributed to team success. Highlighting specific examples of collaboration and problem-solving will resonate well with the hiring team at Leidos.
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 your ability to solve complex data challenges. Mention specific projects where you've successfully implemented data solutions and how they relate to the role.
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, provide examples in your application of how you've effectively communicated technical information to non-technical stakeholders or collaborated with teams.
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 successfully implemented data flows or 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 explaining complex technical concepts in simple terms. This will show your ability to collaborate with both technical and non-technical team members.
✨Familiarise Yourself with Agile Methodologies
As the role involves working in an agile environment, be ready to discuss your experience with agile practices. Mention any specific methodologies you've used and how they contributed to project success.
