Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

DiverseJobsMatter
Horsham
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Are you passionate about designing impactful data-driven solutions and creating cutting-edge digital experiences?

We’re seeking a Principal Data and Digital Engineer to lead the delivery of transformative solutions for our clients. You will lead the delivery of tailored solutions to our clients where you will be responsible for the design, delivery and implementation solutions, spanning from end user interfaces and innovative user experience to data driven solutions.

Sitting in the consulting division, you will be one of the drivers of our new capability framework and will lead the implementation of data and digital solutions of varying size and complexity, across several technical domains, including Analytics and Visualisation, Data Engineering and pipelining, UI and UX, Digital Twins, Simulation and/or Asset and Data Management.

In addition to the relevant technical experience in the different domains identified, you will have a depth of experience in different software engineering languages and commercial off the shelf tools across cloud and on-prem settings where you will be expected to build impactful Technical Solutions, Concept Demonstrators and Minimum Value Propositions.

Job Responsibilities

  • Build, optimise, and maintain scalable data pipelines that handle high-volume, high-velocity data in complex SaaS environments.
  • Design efficient, scalable, and flexible data models in multiple technologies to meet business requirements.
  • Analyse and consolidate business requirements and use cases to meet technical and non-technical debt.
  • Design tailored and bespoke solutions to address and mitigate challenges faced by our clients.
  • Make key decisions on build vs buy for data and digital engineering solutions and platforms.
  • Work closely with the entire business far beyond just product or technology, including driving innovation through concept demonstrators and offerings and support the sales activities, from a pre-sales perspective.
  • Carry out horizon scanning to identify emerging technology and industry trends and assess their potential impact and opportunity to become our offerings to the market.
  • Ensure solution, hosting and service architectures are subject to robust cost and effort estimation, covering design, development, transition, operation, maintenance and exit costs.

Skills Required

Data Engineering

  • Fluency in one or more of the following languages: SQL, Scala, Python, R, PySpark, Elasticsearch.
  • Data Pipeline Development: Hands-on experience in building data pipelines in AWS, Azure and/or open-source frameworks like Spark, Beam, or Airflow.
  • Experience with real time data streaming frameworks, (e.g. Kafka, Pubsub etc.).
  • Data quality/validation experience: designing metrics and KPIs to verify and automated management of data quality – experience in Purview would be very welcome.
  • Build and optimise data models, ensuring data is structured, accessible, and performant for downstream analytics and machine learning models
  • Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions)
  • Knowledge and experience of Palantir Foundry or Gotham is a major plus.
  • Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric is a major plus.

Digital and Software Engineering

  • Experience in developing software solutions in an agile fashion employing best practices (e.g. automated testing, version control, CI/CD, containerisation, etc.).
  • Experience in designing wireframes in Figma and development of web front ends in React and/or Angular.
  • Familiarity with user testing and research methodologies.
  • Strong understanding of HTML, CSS, JavaScript, and front-end frameworks.
  • Experience in Agile methodologies (Scrum / Kanban).
  • Experience in developing Infrastructure as a Code (e.g. Terraform) is an advantage.

Core

  • Working knowledge of 1 cloud vendor (AWS, Azure) – ideally with relevant engineering certification.
  • Strong problem-solving skills, attention to detail and passion for creating business value through data.
  • Strong communication skills, in particular the ability to translate technical concepts to non-technical stakeholders.
  • Value collaboration and have experience working effectively with remote teams.
  • Willingness to mentor others and support them in achieving their goals.
  • Comfortable working in a lean, agile environment, with the ability to adapt to changing priorities and technical domains with an enthusiastic and proactive attitude.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.