At a Glance
- Tasks: Build and maintain data processing pipelines, transforming data for analytical use.
- Company: Raytheon UK offers a permanent role in Manchester, Gloucester, or London.
- Benefits: Enjoy a contributory pension scheme, life assurance, and 25 days holiday plus public holidays.
- Other info: Candidates must hold eDV clearance due to the sensitive nature of the work.
- Why this job: Join a cross-functional Agile team working on cutting-edge technologies in defence and intelligence.
- Qualifications: Experience with Python, Apache Spark, and cloud services like AWS or Azure is required.
The predicted salary is between 60000 - 80000 £ per year.
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite. As Senior Data Engineer, you’ll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. We have opportunities for Data Engineers at every level within a team, so your Recruiter will discuss the great opportunities for development or challenges we offer based off your professional profile. Due to the interesting work we do and the sector this team is working in, we require all candidates to currently hold eDV clearance.
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
Responsibilities- 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
- 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 NoSQL 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! Please do make an application and we will identify where we can best support your growth specific to your application.
Benefits & Work CultureBenefits- 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
- 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
- Early 1.30pm finish Friday, start your weekend early!
- Up to 5 paid days volunteering each year.
- Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.
Senior Data Engineer in Manchester employer: 慨正橡扯
Raytheon UK provides innovative solutions in defence and intelligence sectors. Located in major UK cities, they offer a flexible working culture and up to 5 paid volunteering days annually. The team focuses on collaboration and continuous improvement, ensuring professional growth opportunities.
