NiFi Data Engineer (SC Cleared)

Job Title: NiFi Data Engineer

Location: Hybrid (up to 3 days per week on-site, across offices in London & South England)

Contract Length: 8 Months (with scope to extend)

Start Date: September 2026

IR35: Outside

Interview Process: 1 Stage, MS Teams

Clearance Required Before Applying: SC (with eligibility for higher levels of clearance)

We are supporting a public sector client in hiring a NiFi Data Engineer to join a collaborative development team delivering a data Lakehouse architecture across both cloud and on-premises platforms.

This is a hands-on data engineering role working within Agile sprints across a full software development life cycle, building and maintaining data pipelines, developing data models and handling non-functional requirements including security, performance and metadata labelling. The successful candidate will work closely with engineers and architects to deliver robust, well-tested pipelines that support a modern Lakehouse architecture across AWS and on-premises environments.

This role suits a self-starting data engineer with experience in Lakehouse architectures, event-driven design and CI/CD-integrated development, who is comfortable picking up new technologies quickly and contributing from day one within a fast-paced, security-conscious environment.

Key Responsibilities

• Design, develop and maintain data pipelines within a Lakehouse architecture across cloud and on-premises platforms
• Develop data models to support pipeline design, ensuring alignment with broader architectural standards and business requirements
• Handle non-functional aspects of pipeline development including security controls, performance optimisation and metadata labelling
• Implement event sourcing, change data capture and event-driven architecture patterns within the data platform
• Develop unit and integration tests for data pipelines as part of a CI/CD-integrated software development life cycle
• Collaborate within an Agile development team across sprint planning, code review and iterative delivery
• Apply Java and Groovy within an object-oriented design approach to support pipeline development and tooling

Essential Skills & Requirements

• Proven experience building data pipelines within Lakehouse architectures across cloud or on-premises environments
• Must be a UK national with SC clearance held and eligibility & willingness to undertake DV clearance
• Experience with event sourcing, change data capture and event-driven architecture patterns
• Familiarity with Java and Groovy, with a solid understanding of object-oriented design principles
• Experience working within an SDLC with an integrated development team using CI/CD tooling including Git

Desirable Skills

• Hands-on experience with Apache NiFi for data pipeline development and orchestration
• AWS experience including familiarity with EMR, S3 and SQS
• Awareness of domain-driven design approaches and architecture
• Linux awareness and Scripting skills
• PostgreSQL and PL/SQL knowledge