Senior Data Engineer (eDV Cleared) — Cloud & Pipelines

Raytheon

Greater London

On-site

GBP 50,000 - 90,000

Full time

5 days ago
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Job summary

Raytheon UK is seeking a Principal Data Engineer to join an experienced Software Engineering function in London on a permanent, onsite basis. You will work in a cross-functional Agile team, building data pipelines and transforming data for analytics.

The role offers a competitive salary, strong pension, flex benefits, and a 37-hour week with early Friday finish. Key requirements include active eDV clearance, experience with Python, PySpark, Spark, Airflow, AWS/Azure/GCP, Kafka, SQL/NoSQL stores,

Qualifications

  • Active eDV clearance is required.
  • Experience in an Agile delivery team.
  • Strong analytical skills with unstructured datasets.
  • Proficient Python stack: PySpark, Pandas, PyArrow.
  • Knowledge of Spark and distributed data processing.
  • Experience with ETL tools like Airflow, AWS Step Functions, NiFi.
  • Experience with AWS/Azure/GCP.
  • Knowledge of Kafka, SQS or similar messaging/streaming.
  • SQL and NoSQL storage such as HDFS, Iceberg, Elastic, S3 or data lakes.
  • Experience with Docker, Kubernetes or OpenShift.
  • Familiarity with testing frameworks and best practices.
  • Familiarity with code repositories, branching, PRs and merges.

Responsibilities

  • Build and maintain data processing pipelines to clean, transform, and aggregate data from disparate sources.
  • Transform and optimise data for analytical use.
  • Collaborate with stakeholders and other engineers.
  • Contribute to project milestones.
  • Contribute to continuous improvement within the team.
  • Collaborate on the team's technical direction.

Skills

Active clearance
Agile delivery
Python
PySpark
Pandas
PyArrow
Apache Spark
Airflow
AWS
Azure
GCP
Kafka
SQS
SQL
NoSQL
HDFS
Iceberg
Elastic
S3
Docker
Kubernetes
OpenShift
Testing frameworks
Git

Tools

PySpark
Airflow
Spark
Docker
Kubernetes
OpenShift
Git
AWS
Azure
GCP

Job description

Raytheon UK is seeking a Principal Data Engineer to join an experienced Software Engineering function in London on a permanent, onsite basis. You will work in a cross-functional Agile team, building data pipelines and transforming data for analytics.

The role offers a competitive salary, strong pension, flex benefits, and a 37-hour week with early Friday finish. Key requirements include active eDV clearance, experience with Python, PySpark, Spark, Airflow, AWS/Azure/GCP, Kafka, SQL/NoSQL stores,

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