11 of 11 Remote Part-Time Data Engineering Jobs

Head of Data Engineering - 90k plus bonus - Fully remote (UK based) Join a fast-moving team shaping the future of online sports betting and gaming. Innovation and excellence are at the heart of everything here, with a commitment to delivering top-tier products and services to customers around the globe. This is an opportunity to lead and grow … a high-performing Data Engineering team, driving technical strategy and execution across the business intelligence stack. What You'll Be Doing Lead engineering projects within BI, contributing to planning and architectural decisions. Manage and mentor a team of talented data engineers. Run engineering sprints, retrospectives, and support incident reviews. Provide technical oversight of the BI … stack, including: Data governance and integrity (contracts and variations) Development standards and processes Stack availability, robustness, and performance improvements Managing technical debt Collaborate with Data Science and Reporting teams to support their work and deployments. Work cross-functionally with other tech departments on shared initiatives. What You Bring Proven experience managing data engineering teams. Strong hands More ❯

An established health and wellbeing organisation is expanding its data function and seeking a hands-on Data Engineer to help develop and maintain robust data infrastructure. Youll work on a wide range of projects supporting analytics, reporting and client delivery. Key responsibilities Design, build and maintain reliable data pipelines and integrations across multiple systems. Develop and … optimise data models to support reporting, dashboards and KPIs. Build and maintain Power BI dashboards and automated data flows. Collaborate with product, engineering and business teams to deliver high-quality, usable data. Support the development of a centralised data warehouse and data lake. Uphold data quality, governance and documentation standards. Tech environment SQL Server … Azure Data Platform, Power BI, Azure Fabric, Cosmos DB, APIs, and third-party integrations. Profile Strong SQL and data modelling experience. Proven background in data engineering within Microsoft-based environments. Comfortable interpreting and transforming large, complex data sets. Clear communicator who can explain data insights to non-technical stakeholders. Hands-on problem solver who More ❯

models) for real-world enterprise use cases. Build and fine-tune LLM-based applications such as: Chatbots Document Q&A systems Report generators Code assistants Summarization tools Apply prompt engineering, Retrieval-Augmented Generation (RAG), and context-aware pipelines to enhance model accuracy and relevance. Integrate AI models with enterprise systems, APIs, and data stores using Python, Java, or … through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security, and governance standards. Prepare and curate training datasets (structured/unstructured text, images, code). Apply data preprocessing, tokenization, and embedding generation techniques. Work with vector databases (e.g., Pinecone, Weaviate, FAISS, Chroma) for semantic search and retrieval. Partner with business stakeholders to identify and shape impactful … Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. -Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). -Strong understanding of data engineering, data pipelines, and ETL workflows. -Excellent problem-solving, communication, and stakeholder engagement skills. -Bachelor's or Master's degree in Computer Science, AI/ML, Data More ❯

Data Analytics Engineer Contract Role Inside IR35 | 475-500/day | Remote | Initial 6 Months | Extension Likely We have a new Data Analytics Engineer contract opportunity a customer of ours, supporting their Global Operations and Customer Service teams. This role is remote-first, with the very odd occasional travel to Newcastle. The initial contract is 6 months, with … strong potential to extend. Were looking for someone with a strong technical foundation and a deep understanding of operational data needs - especially around workforce planning and customer service analytics. Key Responsibilities: Build and maintain scalable data pipelines and datasets using ELT/ETL best practices Deliver high-quality insights through reporting and analytics Partner with stakeholders to define … and implement BI solutions Ensure data quality, system reliability, and performance Support production environments and month-end processing Communicate complex insights to technical and non-technical audiences Tech Stack: Snowflake Python Fivetran Azure/AWS Salesforce CRM (preferred) Ideal Candidate: 5+ years in BI, Data Analytics, or Data Engineering Experience supporting Ops and Customer Service teams More ❯

I am working with a fast-growing, technology driven organisation that is redefining how data is used to drive decision making across regulated industries. Through advanced data engineering, cloud technologies and a strong focus on compliance they are enabling smarter, faster and more secure business operations. As part of their continued growth, they are looking to bring … on a Data Engineer to join their Data team. This is a high-impact, delivery focused role where you will work across business units to build scalable data solutions and support enterprise-wide transformation. You will be part of a collaborative, forward thinking team that values innovation, quality, and continuous improvement. In this role, you will be … responsible for: Designing and delivering data solutions using Microsoft technologies Building and maintaining ETL pipelines across complex data environments Collaborating with Architects, Engineers, and cross-functional teams to develop solutions that meet business needs Participating in Agile ceremonies and contributing to code reviews Creating documentation and supporting the development lifecycle To be successful in this role, you will More ❯

We are currently looking for a Senior Client Insight Analyst to join our Insight Team and are keen to hear from experienced data and insight specialists looking to further their career. As a Senior Client Insight Analyst, you'll be the driving force behind understanding our clients-and helping us anticipate their needs. By providing meaningful insights on our … clients, you will be central to improving client experience and helping key stakeholders make critical commercial and strategic decisions. By immersing yourself not only in our own client data, but by considering external influences and our competitors, you will become an important part of the team that understands and explains how the business is performing. We are looking for … stakeholders across our Client and Product teams with insight on our clients and the translating of this in to actions and recommendations Proactively identify trends and opportunities within our data and translate them into improved commercial performance or client experience Depending on priorities, analysts can be seconded on to a variety of project teams that may have specific deliverables More ❯

Remote Senior Data Engineer - Outside IR35 - Palantir Foundry Fully Remote in UK Multiple Openings Freelance Contract - Outside IR35 Initial 6-months + Extensions (multi-year project) Up To 450 Per Day (depending on experience) We are working with a major insurance provider to build a new project team that will leverage Palantir Foundry to turn high-volume data … hands-on experience working with Palantir Foundry, ideally with a background in the insurance domain (Life, Health, Home, Compensation). What youll do... Design, build, and own Palantir Foundry data pipelines end-to-end. Write production-grade Python, PySpark, and SQL for ELT on large distributed datasets. Implement warehousing patterns with strong data quality checks and lineage. Translate … insurance requirements into robust data products via Foundry Ontology. Diagnose pipeline issues and document workflows for repeatability. Collaborate in Scrum with analysts, SMEs, and engineers to deliver. What were looking for... Strong experience in data engineering for large-scale distributed systems. Hands-on development experience with Palantir Foundry - this is a must Deep PySpark + Spark SQL More ❯

Join Redslim as a Python Full Stack Engineer! At Redslim , were on a mission to harness the power of data to drive meaningful impact and positive change. We partner with some of the worlds most iconic consumer brands to turn complex datasets into transformative business intelligence solutions. Our commitment goes beyond innovation we care deeply about diversity, inclusion, and … wellbeing of our people. Now, were looking for a skilled, curious, and collaborative Python Full Stack Engineer to join our TechnologyProduct team and help shape the future of scalable, data-driven systems. Work location On-site, hybrid, or remote in Spain, France, Portugal or the UK flexibility is at the heart of how we work. What youll do Youll … functional teams to design, build, and maintain robust web applications, APIs, and intuitive React-based frontends. Your expertise will help us craft seamless digital experiences while driving forward our data engineering and cloud-based capabilities. Your key responsibilities will include: Design, develop, and maintain web applications and APIs using Python, dotnet and React. Leveraging the capabilities of LLMs More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯

making process, with the founders having had first hand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI. This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work … on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration … Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape More ❯