Data Engineer

Roke Manor Research Limited
Gloucester
6 days ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National Security Business
Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous.

Working on leading edge technology solutions including AI/DS, Cyber, Cloud, DevOPs/SRE, Platform Engineering

We have secured long term work, across the full spectrum, on the latest framework with the client, which provides the springboard for our ongoing growth and development in this domain, so join us on what will be an incredible growth journey.

Role
As a Data Engineer, you’ll be actively involved in development of mission critical technical solutions that focus on data services for our National Security customers.

You will work alongside our customers to solve their complex and unique challenges.

As our next Data Engineer, you’ll be managing and developing data pipelines that transform raw data into valuable insights for Roke’s National Security customers, enabling downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets.

You will be responsible for

  • Data pipeline development - Data ingestion and pipeline orchestration design and tooling.
  • Database schema design / database modelling
  • Data integration - Integrating and enriching data from various sources, ensuring data consistency and quality.
  • ETL processing design and coding - Extract transform and load processing such as NiFI.
  • Create code that is open by default and easy for others to reuse
  • Maintain and develop existing architectural components including Data Ingest and Data Stores
  • Work as part of an operational team investigating and diagnosing problems identified with integrated (enriched) data.
  • Explain the difference between user needs and the desires of the user
  • Data security - Implementing data security measures to protect sensitive information.
  • Be able to help the scrum team decompose user requests and key results into epics and stories.
  • Writing clean, secure code following a test-driven approach
  • Create code that is open by default and easy for others to reuse
  • Monitor and maintain - Monitor data systems for performance issues and make any necessary updates.


Required Skills

  • Apache Kafka
  • Apache NiFI
  • SQL and noSQL databases (e.g. MongoDB)
  • ETL processing languages such as Groovy, Python or Java.


Built on over a 60 year heritage, Roke offers specialist knowledge in sensors, communications, cyber, and AI and ML. We change the way organisations think and act through dynamic insights from the analysis of multiple layers of data. We take care of the innovative, technical stuff that keeps everyone safe that’s our mission, passion, and motivation.

Where you’ll work

GLOUCESTER- Alongside hybrid and flexible working options, you’ll find our Gloucester site in a business park two minutes from junction 11A of the M5; The site allows easy access to our local customer base. Set on the outskirts of the Cotswolds, you are never far from a picturesque view or lunch time walk.

Clearances

Due to the nature of this role, we require you to be eligible to achieve DV clearance.

The Next Step...

Click apply, submitting an up-to-date CV. We look forward to hearing from you.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.