At a Glance
- Tasks: Lead front-end development and tackle data challenges for a major UK Government programme.
- Company: Join Leidos, a passionate team dedicated to customer success and making a difference.
- Benefits: Enjoy flexible working, 33 days annual leave, private medical insurance, and a contributory pension scheme.
- Why this job: Be part of a high-performing team, learn from experts, and work on impactful data solutions.
- Qualifications: Proven front-end development experience, knowledge of ETL platforms, 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 Software Engineer – Front-End Development & Data Engineering to join us on a permanent basis. We need talented individuals to apply their expertise in front-end development and a strong understanding of data engineering principles 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 front-end development solutions that support multiple data flows to connect operational systems, data for analytics and business intelligence (BI) systems.
- Build, maintain and operate software environments associated with data-streaming systems.
- Debug, resolve and optimise data processing and analytics issues.
- Be proactive in evaluating and developing tools and technologies in improving the data analytics platforms.
- Utilise modern frameworks, libraries, and technologies to build cutting-edge user interfaces.
- Write clean, maintainable, and well-documented code following industry best practices.
- Support the development of data migration, data integration and data processing processes.
- Support the creation of project plans, identification of risks, and generation of risk mitigation plans.
What does Leidos need from me?
- Proven experience in front-end development with a focus on building data-driven applications.
- 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.
- Experience with cloud platforms (e.g., AWS, Azure, OCI) and their data engineering tools.
- Understanding of CI/CD workflows and DevOps practices.
- Prior experience in a leadership role or mentoring developers.
It would be great if you had:
- 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.
Contact Detail:
Leidos Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Familiarise yourself with the latest front-end frameworks and libraries that are commonly used in data-driven applications. Being able to discuss your experience with these technologies during interviews will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 2
Showcase your understanding of data engineering principles by preparing examples of how you've solved data challenges in previous projects. This will help you stand out as a candidate who can bridge the gap between front-end development and data engineering.
✨Tip Number 3
Network with professionals in the field, especially those who have experience working on government programmes or similar projects. Engaging with them can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS or Azure, particularly their data engineering tools. Highlighting your familiarity with these platforms will show that you're ready to hit the ground running in this role.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in front-end development and data engineering. Use specific examples that demonstrate your skills in building data-driven applications and working with ETL platforms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention your experience with cloud platforms, CI/CD workflows, and any leadership roles you've held. Make it personal and relevant to the job description.
Showcase Relevant Projects: Include a portfolio or links to projects that illustrate your expertise in modern frameworks, libraries, and technologies. Highlight any work related to data analytics platforms or business intelligence reports.
Prepare for Technical Questions: Anticipate technical questions related to front-end development, data processing, and analytics. Brush up on your knowledge of Python, cloud services, and agile methodologies to demonstrate your proficiency during interviews.
How to prepare for a job interview at Leidos
✨Showcase Your Front-End Expertise
Be prepared to discuss your experience in front-end development, particularly with data-driven applications. Bring examples of projects you've worked on that demonstrate your ability to design and implement user interfaces using modern frameworks.
✨Demonstrate Your Data Engineering Knowledge
Since the role involves data engineering principles, be ready to talk about your experience with ETL platforms and data processing. Highlight any specific tools or technologies you've used, especially in relation to cloud platforms like AWS or Azure.
✨Emphasise Agile Experience
The company values agile methodologies, so share your experiences working in agile environments. Discuss how you’ve contributed to team dynamics, estimated task efforts, and identified dependencies in past projects.
✨Prepare for Technical Questions
Expect technical questions related to Python, CI/CD workflows, and DevOps practices. Brush up on your knowledge of these areas and be ready to solve problems or discuss scenarios that showcase your analytical skills.