Data Engineer (Contract)

Harnham Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

I am working with a client who is looking for a Data Engineer to take ownership of all things data for their feasibility product. This role is essential in building and maintaining data stores, automation, and stream consumers, enabling Data Scientists and Analysts to develop effective algorithms, processes, and reports. As a bridge between software engineering and data science, you'll work within the tech team to develop scalable solutions that meet business needs.

THE ROLE AND RESPONSIBILITIES

  • Develop applications to consume and transform production data streams (Kafka) for analytical and ML use.
  • Build and optimize ETL/ELT workflows to support feasibility models.
  • Automate model training, evaluation, and deployment pipelines.
  • Design and maintain cloud-based data stores using AWS Redshift and other cloud tools.
  • Implement monitoring solutions to ensure data integrity and model performance.
  • Develop FastAPI-based RESTful APIs and microservices to expose feasibility data to other teams.
  • Integrate APIs with CI/CD pipelines to enable automated testing and deployment.
  • Work closely with cross-functional teams to gather requirements and deliver data-driven solutions.
  • Follow best practices for clean, modular, and testable code, conducting code reviews to ensure quality.
  • Identify opportunities to improve the performance, maintainability, and scalability of existing systems.

YOUR EXPERIENCE AND QUALIFICATIONS

Please only apply if you have experience developing FastAPIs.

  • Strong experience with Python or similar languages (e.g., R).
  • Hands-on experience with SQL databases (PostgreSQL preferred).
  • Familiarity with AWS services (S3, SageMaker, RDS, EC2).
  • Experience with CI/CD tools (AWS CodePipeline, GitHub Actions).
  • Proficiency with infrastructure as code tools (Terraform, CloudFormation).
  • Experience with distributed data processing tools (Spark, Dask, or similar).
  • Proficiency in Git version control and collaborative coding practices.
  • Familiarity with Kafka is an advantage.

If all of the above aligns with your experience, please apply using the link below.

If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.

#J-18808-Ljbffr

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 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.