Data Engineer

Prattwhitney; Manchester; On-site; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Contributory Pension Scheme (up to 10.5% company contribution)

25 days holiday plus public holidays

Discretionary company bonus scheme

Flexible Benefits scheme

Enhanced family friendly policies

Job summary

Prattwhitney is seeking a Data Engineer in Manchester to build data pipelines and collaborate with teams. Ideal candidates will have strong analytic skills and proficiency in Python, particularly in data processing and ETL.

The role requires eDV clearance and offers benefits like a contributory pension scheme, flexible working hours, and volunteer days. This is a great opportunity for those looking to thrive in a supportive work culture.

Qualifications

• All candidates must hold current eDV clearance.

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.

Skills

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)

SQL and NoSQL databases (HDFS, Iceberg, Elastic)

Containerisation and orchestration (Docker / Kubernetes / Openshift)

Testing frameworks and best practices

Job description

Location: Manchester, Lancashire

Position: Data Engineer (Onsite)

All candidates must hold current eDV clearance.

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.

Required Skills and Experience

• 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 databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake).
• Containerisation and orchestration (Docker / Kubernetes / Openshift).
• Testing frameworks and best practices.

Benefits

• 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.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.

Work Culture

• 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.

Equal Employment Opportunity

RTX Raytheon UK is an equal opportunity employer. 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.