L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers’ mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 50,000 employees, with customers in more than 100 countries.
Job Title: Senior Data Engineer
Job ID: 12137
Job Location: UK – Whiteley– Hampshire
Please note that onsite working will be expected for at least 4 days per week.
About this opportunity and L3Harris UK
From 12 UK sites, our team of over 1,400 people deliver unique capabilities across air, land, sea, space and cyber for military, security and commercial customers, worldwide.
At L3Harris Flight Data Services, we provide an outsourced Flight Data Monitoring service to aircraft operators worldwide. It is important to deliver insights to customers in a presentable and timely manner, enabling them to take action to reduce costs and improve safety to save lives.
L3Harris Flight Data Services has the largest flight data monitoring platform in the world; the Software Engineering Team supports & develops capabilities and ad-hoc analysis for this platform. We care deeply about aviation safety; our work reflects our passion for this, and we expect the same from you. We work with customers to improve their safety operations with insights and analysis capability.
As a Senior Data Engineer, you will produce architecting/engineering data led solutions to complex extraction and transformation requirements analytical reports and answer customer requests, working alongside experienced flight data specialists. You will experiment and lead data cloud migration project to support new generation of analytical services, help create machine learning models to find hidden patterns in our data and present results of analyses and models in a customer friendly manner. Our data are time series sensor data and high level event summaries. We also expect you to curate and maintain dashboards with valuable insights using data stored in data warehouse. You will also mentor team members as well as lead technical data science projects. You will have a range of knowledge and skills and is expected to keep up to date with the latest trends and technologies.
A few of our employee benefits are:
25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme of up to 7% employer contribution Life Assurance 4x salary (flexible up to 10x) Group income protection Flexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover and cycle to work scheme Employee assistance program providing mental health and wellbeing support
As a member of the R&D data science team, you will (with support and guidance):
Build data systems, build and maintain data pipelines Create solutions to enable customer use third-party BI tools Design DB architectures, research and advice on how effectively combine high level statistics with the detailed time-series data Handle complex time series flight data, data cleaning, feature extraction ELT process, making sure that data is extracted and presented in the most effective way Help produce analytical reports and answer customer requests, working alongside experienced flight data specialists Liaise with customers for ad-hoc data analysis Present the results of the analyses and models in a customer friendly manner Produce dashboards and insights using the data warehouse Research and lead programs of technical machine learning (ML) focused work Develop and maintain ML models
Knowledge, skills and qualifications:
Hands-on experience with SQL and database design Good understanding of statistics, and ability to pick correct methods to produce valuable insights Expert knowledge of database architectures and modern BI tooling Good knowledge of cloud technologies (AWS preferred) Working knowledge of ML models and their applications Expertise in data analysis and data quality Expertise with Python and their plotting libraries The ability to clean/transform database content and to analyse and interpret data Ability to plan work and meet deadlines. Clarity of communication and problem-solving skills.
Please note applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK.
