Principal Data Engineer

Date Posted:  Country:
United Kingdom

Location:

London, London, City of Position Role Type:
Onsite Principal Data Engineer

Location:

London Permanent Onsite Due to the interesting work we do and the sector this team is working in, we require all candidates to hold an active eDV clearance for this role.

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. As a leading defence and aerospace company operating across the United Kingdom, Raytheon UK helps to solve our customers’ toughest challenges. We are a major supplier to the UK government and customers around the globe, providing defence solutions across all domains: land, sea, air, space, and cyberspace.

We also provide digital and training transformation solutions to commercial and military customers. With circa 2000 employees and major facilities operating throughout the UK including Broughton (Wales), Livingston and Glenrothes (Scotland), and Harlow, Gloucester, and Manchester (England); we are committed to investing in British careers and technology development.

Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week.

You’ll be part of our experienced Software Engineering function, working in a cross-functional Agile team. The Principal Data Engineer role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.

• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Collaborate with stakeholders and other engineers
• Contribute to the completion of milestones associated with your project
• Contribute to continuous improvement within your team
• Collaborate with your peers on technical direction within your team

• Experience of working in an Agile delivery team
• Strong analytic skills related to working with unstructured datasets
• Python (PySpark, Pandas, PyArrow)
• Distributed data processing (Apache Spark)
• Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)
• Cloud services (AWS, Azure or GCP)
• Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)
• SQL and No
  
  SQL Storage (HDFS, Iceberg, Elastic, S3, Data Lake)
• Containerisation and orchestration (Docker / Kubernetes / Openshift)
• Testing frameworks and best practices
• Use of Code repositories, familiarity with branching strategies, pull requests and merge processes

We appreciate you may not be an expert in every area above - we can support with training and development in some areas!

• £:
  Competitive salary
• Contributory Pension Scheme (up to 10.5% company contribution)
• 6 times salary ‘Life Assurance’ with pension
• 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
• Company bonus scheme (discretionary)
• Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements. Early 1.30pm finish Friday, start your weekend early! Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. Up to 5 paid days volunteering each year. Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed…