Data Engineer – Security & Intelligence
Envitia
full-time
Posted on:
Location Type: Hybrid
Location: Gloucester • United Kingdom
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About the role
- Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data.
- Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings.
- Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems.
- Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use.
- Build scalable, distributed data processing solutions using modern big data and parallel processing technologies.
- Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms.
- Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes.
- Optimise data storage and processing architectures to support high‑performance analytical environments.
- Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments.
- Support the ongoing operation, observability and resilience of production data platforms.
Requirements
- Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL
- Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)
- Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools
- Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services
- Familiarity with Infrastructure as Code and modern cloud‑native data architectures
- Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling
- Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions
- Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings.
Benefits
- 25 days of annual leave plus your birthday off
- buy or sell up to 5 extra days
- Private Medical Insurance
- Security Clearance Bonus: Up to £5,000 year
- ongoing training and development
- fitness reimbursement scheme
- Life Assurance
- pension options
- Perkbox membership
- paid volunteering days
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringPythonJavaScalaSQLETLELTbig datadata pipelinesdata lakes
Soft Skills
collaborationstakeholder engagementproblem-solvingcommunicationadaptabilityattention to detailanalytical thinkingorganizational skillsresiliencecreativity