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 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
£: 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 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 subject to role) - please highlight any requests to the Talent Acquisition team.
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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