#R-00158220-OTHLOC-PL-2D1586
nd 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 world safer, healthier, and more efficient through technology, engineering and science.
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 only and 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.