[Remote] Data Engineer - Security & Intellignce

Note: The job is a remote job and is open to candidates in USA. Envitia operates at the heart of the UK’s most sensitive and high-profile operations. They are seeking a Data Engineer to join their Security and Intelligence consulting team, responsible for designing, building, and maintaining secure, scalable data platforms and pipelines for advanced analytics and operational intelligence capabilities.

Responsibilities

• 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

Skills

• 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
• The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance

Benefits

• 25 days of annual leave plus your birthday off
• Private Medical Insurance
• Security Clearance Bonus: Up to £5,000 year
• Ongoing training and development
• Fitness reimbursement scheme
• Life Assurance
• Pension options
• Perkbox
• Paid volunteering days

Company Overview