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For Companies At a Glance
- Tasks: Design and implement data flows, maintain data environments, and optimise analytics processes.
- 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 tackle exciting data challenges.
- Qualifications: Experience with ETL platforms, Python, and agile development; SC clearance required.
- Other info: Ad-hoc travel may be needed to various sites across the UK.
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 PLAY
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.
Your responsibilities will include:
- 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
PROFILE: Required Skills:
- Experience working with ETL platforms
- Experience with Python and its numerical, data and machine learning libraries
- Experience of working in an agile software development environment
- Experience estimating task effort and identifying dependencies
- Excellent communication skills
Desired Skills:
- Azure or AWS Certified
- Familiarity with Java
- Experience building business intelligence reports
- Experience of setting up and administering analytics services, such as Power BI or Pentaho BA
- Experience with streaming services, such as Kafka
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 (software) employer: Leidos
Contact Detail:
Leidos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (software)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as ETL platforms and Python libraries. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your suitability for the role.
✨Tip Number 2
Network with current or former employees of Leidos or similar companies. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss your experience in agile environments and how you've contributed to team projects. Highlighting your collaborative skills and ability to adapt to changing requirements will resonate well with the hiring team.
✨Tip Number 4
If you have any relevant certifications, such as Azure or AWS, make sure to mention them during your discussions. These credentials can set you apart from other candidates and show your commitment to professional development.
We think you need these skills to ace Senior Data Engineer (software)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, software development, and any specific tools mentioned in the job description, such as ETL platforms and Python libraries.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your skills align with the responsibilities outlined in the job description. Mention your experience with agile environments and any relevant certifications.
Showcase Relevant Projects: If you have worked on projects involving data flows, analytics, or database management, include these in your application. Highlight your role and the impact of your contributions.
Prepare for Technical Questions: Anticipate technical questions related to data processing, analytics issues, and the tools you’ve used. Be ready to discuss your problem-solving approach and any experiences with cloud services like Azure or AWS.
How to prepare for a job interview at Leidos
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL platforms, Python, and any relevant libraries. Highlight specific projects where you've successfully implemented data flows or resolved data processing issues.
✨Demonstrate Agile Experience
Since the role requires working in an agile environment, be ready to share examples of how you've contributed to agile teams. Discuss your understanding of task estimation and dependency identification.
✨Communicate Effectively
Excellent communication skills are a must for this position. Practice articulating complex technical concepts in a clear and concise manner, as you'll need to collaborate with various stakeholders.
✨Research the Company Culture
Familiarise yourself with Leidos' values and culture. Be prepared to discuss how your personal values align with their mission of customer success and teamwork, as this will show your genuine interest in the company.
