Montash

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