Lead Data Engineer

Leidos; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Lead Data Engineer to join their dynamic team. This full-time role offers the opportunity to tackle complex data challenges while supporting a major UK Government programme. You will lead a talented team, architecting and developing data pipelines on cloud platforms like AWS and Azure. The position promises a collaborative culture and a commitment to diversity, ensuring that all voices are heard. If you are passionate about data engineering and looking for a rewarding career that balances professional growth with a healthy work-life balance, this is the perfect opportunity for you.

Benefits

Contributory Pension Scheme

Private Medical Insurance

33 days Annual Leave

Flexible Benefits

Dynamic Working

Qualifications

• 5+ years of experience in data engineering with cloud focus.
• Proven leadership skills in managing technical teams.

Responsibilities

• Lead and coordinate teams to set best practices in data engineering.
• Architect and maintain robust data pipelines across cloud platforms.

Skills

Data Engineering

Cloud Technologies (AWS, Azure)

Leadership and Team Management

Python

Java

Problem-Solving

Agile Methodologies

Education

Bachelor's Degree in Computer Science or related field

Tools

Pentaho BA

Power BI

ETL Platforms (SSIS, AWS Data Factory, Azure Data Factory)

Hadoop

Jenkins

Job description

Description

The Role

We are looking for aLead 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. 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.

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

Commitment to Diversity:

We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture.We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone.If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs.

Who We Are:

Leidos UK & Europe – we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience.

Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in government, defence, healthcare, safety and security, and transportation.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.