At a Glance
- Tasks: Design and develop data pipelines in a collaborative Agile team.
- Company: Join a public sector client focused on innovative data solutions.
- Benefits: Hybrid work, competitive pay, and opportunities for contract extension.
- Other info: Fast-paced environment with potential for career growth and learning.
- Why this job: Make an impact with cutting-edge Lakehouse architecture and modern tech.
- Qualifications: Experience in data engineering, Lakehouse architectures, and CI/CD practices.
The predicted salary is between 60000 - 75000 £ per year.
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
- 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
- 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
StudySmarter Expert Advice🤫
We think this is how you could land NiFi Data Engineer (SC Cleared) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Montash before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Montash.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Montash.
We think you need these skills to ace NiFi Data Engineer (SC Cleared) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Montash, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Montash, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Montash’s attention and show the tangible impact of your work.
How to prepare for a job interview at Montash
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Montash.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Montash.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Montash.
