DV Cleared Data Engineer

Experis
Bath, UK
2 days ago
Apply on www.careerboard.com
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
£104,000.0 - £130,000.0
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration Data Infrastructure Data Integration Extract Transform Load (ETL) Data Security Data Systems Database Development DevOps
+17 more
Elasticsearch Apache Hadoop Python (Programming Language) Machine Learning Scrum Methodology Query Optimization Google Cloud Azure Data Factory Apache Spark Indexer Infrastructure Automation Frameworks AWS Glue Real Time Data Apache Kafka Apache Nifi Data Management Data Pipelines

Job description

Our client, a reputable organisation supporting high-profile government programmes, is hiring a DV Cleared Data Engineer to join a critical, secure environment. This role involves designing, building, and maintaining robust data pipelines and platforms to enable advanced analytics and intelligence operations.

What you’ll be doing: . Develop, optimise, and support scalable data pipelines (batch and streaming) within secure environments. . Manage ETL/ELT processes for diverse datasets, ensuring data quality, lineage, and governance. . Collaborate with technical and business teams to translate complex requirements into effective data solutions. . Maintain Elasticsearch solutions for indexing, search, and Real Time data discovery. . Ensure data platforms meet security, accreditation, and information assurance standards. . Contribute to modern data architecture design across cloud and on-premise environments. . Support Agile delivery teams, including Scrum and SAFe.

Requirements

Proven experience as a Data Engineer in secure government, defence, or intelligence settings. . Strong Python and SQL development skills. . Hands-on experience with data integration tools like Airflow, NiFi, Azure Data Factory, or AWS Glue. . Expertise in Elasticsearch management, indexing, and query optimisation. . Knowledge of data modelling, warehousing, and modern data platform architectures. . Familiarity with cloud platforms (AWS, Azure, GCP) in secure environments. . Understanding of data security, governance, and information assurance. . Experience with DevOps practices, CI/CD, and Infrastructure as Code.

Desirable: . Experience within UK Defence, Intelligence, or National Security sectors. . Knowledge of big data tools such as Kafka, Spark, or Hadoop. . Support for machine learning or advanced analytics workloads. . Experience working with classified datasets and Elastic Stack (ELK).

If you’re ready to contribute to vital national security projects, apply now!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:36 min

Analyzing limitations with PostgreSQL bitmap heap scans

Dharin Shah Dharin Shah · World Congress 2025

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all

Related articles

See all