Senior Data Engineer

Job d:
Posted 29 Days Ago

Start Date:

Location:

London, London Country:
United Kingdom Time Type:
Full time

Date Posted:

Country:

United Kingdom

Location:

London, London, City of

Position Role Type:

Onsite Senior 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.

About us 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.

Cyber Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.

Role & Responsibilities You'll be part of our experienced Software Engineering function, working in a cross-functional Agile team.  The Senior 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 Requirements/knowledge (you don't need everything)

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! Please do make an application and we will identify where we can best support your growth specific to your application.

Benefits::
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

Work Culture
37hr working week, although hours may vary…