16 of 16 Part-Time Data Engineering Jobs in the Channel Islands

About WillHire WillHire is a forward-thinking staffing and talent acquisition platform that helps top organizations discover exceptional talent. As part of our expansion into the Data Engineering vertical , were inviting analytical, detail-oriented, and passionate individuals to join our Data Engineering Internship Cohort . Role Overview As a Data Engineering Intern at WillHire … you will support our data and infrastructure teams in designing, building, and maintaining scalable data pipelines. Youll gain hands-on experience with modern data engineering tools, cloud platforms, and big data ecosystems while working in a fast-growing HR-tech environment. Key Responsibilities Assist in designing, developing, and maintaining ETL pipelines for structured and unstructured … data. Work with databases (SQL/NoSQL) to ensure data accuracy, integrity, and accessibility. Support integration of APIs and third-party data sources into the data ecosystem. Help optimize data storage, transformation, and retrieval for performance and scalability. Contribute to data quality checks, validation processes, and monitoring frameworks. Assist in developing dashboards and reports for More ❯

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 ❯

The Job As Principle Data Engineer, your responsibilities will include designing, developing, and implementing high-performance data pipelines using Azure Data Factory, Databricks, and other Azure data services. You will architect and manage data solutions using Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures. This role will see you … collaborating with data scientists, analysts and other engineers to translate data requirements into technical solutions. You will also be responsible for driving best practices for data governance, data quality, data security and data lineage. About You You are a Data Engineer with extensive experience using Azure data platform services: Azure Databricks, Azure … Data Factory, Azure Data Lake Storage, Azure SQL Database and/or Azure Synapse Analytics. You will have strong SQL and excellent programming skills in Python (Scala is a strong advantage) as well as a solid understanding of data governance, quality, and security principles. You will be an excellent communicator with some exposure to Infrastructure as Code More ❯

We're Hiring: Data Services Manager Location: Remote Department: Data Services Team Size - Currently 6 Direct Reports Are you a seasoned data professional ready to lead a high-performing team and shape the future of data at Kensington? We're looking for a Data Services Manager to join our dynamic Data Services team and … play a pivotal role in delivering scalable, high-quality data solutions that drive strategic decision-making across the business. About the Role As the Data Services Manager , you'll report to and deputise for the Senior Data Services Manager, leading a talented team of Data Engineers. You'll be instrumental in delivering Kensington's Data Strategy, developing innovative data products, and championing data governance and quality across the organisation. This is a hands-on leadership role where you'll guide technical delivery, mentor team members, and collaborate with stakeholders across Mortgage Originations, Servicing, Securitisations, and Finance. Key Responsibilities Lead and mentor a high-performing Data Engineering and BI team Drive More ❯

Data Manager Remote Up to 85,000 Employment Type: Permanent Are you a seasoned data professional ready to take the next step into strategic leadership? Were working with a forward-thinking financial services organisation seeking a Data Manager to lead and mentor a high-performing data engineering team. This is a pivotal role, offering the … opportunity to shape data strategy, drive innovation, and influence enterprise-wide decision-making. Youll be at the forefront of delivering scalable, high-quality data solutions that support business-critical domains such as Servicing, Securitisations, and Finance. What Youll Be Doing: Leading and mentoring Data Engineers to deliver robust data products and solutions. Championing data governance … quality, and compliance across the organisation. Collaborating with cross-functional teams to align data initiatives with strategic goals. Driving Agile delivery, automation, and continuous improvement. Influencing architectural decisions as part of the Technical Design Authority. What Were Looking For: Proven leadership in data engineering or BI teams. Hands-on experience across the Microsoft Data Platform (SQL More ❯

Data Engineer | Fintech | Remote (UK based) Propel are proud to be partnering with a rapidly scaling global fintech, backed by leading investors, thats redefining financial access for immigrants and international communities worldwide. Their multi-currency platform powers instant cross-border payments, foreign exchange, and inclusive financial products all built on modern technology designed to remove friction, reduce cost, and … mindset, combining dedication to your craft with a commitment to the success of your team and the satisfaction of our customers. The Role We are looking for a Credit Data Engineer to join our team and help build, scale, and optimise the data infrastructure at the core of our lending business. This is a hands-on engineering role, ideal for someone who thrives on building and maintaining robust data pipelines that power underwriting, credit decisioning, and portfolio analytics. Youll work closely with credit risk, product, and data science teams to deliver the data foundations that enable innovative credit products and actionable insights. Your work will directly influence our ability to automate decisions, monitor More ❯

Graph, Azure Cognitive Services, Databricks, Power Platform, AI Builder, Power Automate, Dynamics 365 (F&O/CE/BC), LLMs, agentic AI, product ownership, roadmap, backlog, MLOps, Responsible AI, data governance, rapid prototyping, commercialisation, 75,000 - 80,000 per annum Copilot Lead - Join a trusted Microsoft Partner specialising in business and technology transformation for project-based companies. Reporting to … use cases, and turning concepts into scalable, market-ready IP. You will lead a small, cross-functional squad initially of 13, scaling over time, and work closely with consulting, engineering, and go-to-market teams to embed AI into Dynamics 365 and the Power Platform. Education and Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science … Engineering, or related field, or equivalent practical experience. Experience 10+ years across AI, digital product innovation, or enterprise technology, with significant exposure to Azure and Microsoft ERP ecosystems. Proven leadership of cross-functional teams and successful delivery of AI solutions in complex enterprise environments. Deep understanding of Dynamics 365 (F&O, CE, BC), the Power Platform, and Azure AI 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 ❯

countries and integrations with banks, payment providers, and mobile wallets, this company is building the first full-stack financial ecosystem for the worlds immigrant population. Theyre now hiring a Data Engineer to help scale the data infrastructure that powers their rapidly growing lending business. The Role This is a hands-on engineering role for someone passionate about … building robust data systems that directly enable smarter, faster, and fairer credit decisions. Youll design, develop, and maintain data pipelines that power underwriting, credit decisioning, and portfolio analytics, working closely with cross-functional teams in risk, product, and data science. Your work will sit at the heart of the business, enabling automation, risk monitoring, and data-driven insights that shape next-generation credit products for underserved markets. What Youll Be Doing Design, build, and maintain scalable data pipelines supporting credit risk modelling, underwriting, and portfolio management. Ingest data from diverse sources - including ledgers, transaction systems, credit bureaus, open banking APIs, and third-party providers. Implement automated processes for data validation, anomaly detection More ❯

scalable solutions from prototype to production, and contributing directly to the companys growth milestones. Key Responsibilities Backend APIs (Python/FastAPI) : Build secure, scalable services powering AI features and data retrieval. RAG & Vector Search : Design and iterate retrieval pipelines using chunking, embeddings, hybrid search, and feedback loops. LLM Integration : Work with OpenAI/Bedrock models, orchestrate prompts/responses … and implement guardrails and evaluations. Data Engineering : Ingest and transform structured/unstructured data; design schemas for analytics and retrieval. Frontend (React/Next.js) : Deliver fast, intuitive UIs that clearly expose AI capabilities. Architecture : Develop a modular platform on AWS ECS, separating ingestion, retrieval, reasoning, and delivery. Quality & Reliability : Implement testing, CI/CD, observability, and performance … reranking, and evaluation metrics. Solid experience with SQL and NoSQL databases (Postgres, DynamoDB). Familiarity with AI/ML models and APIs (LLMs, embeddings, vector search). Expertise in data engineering (ETL, schema design, performance tuning). Proficiency in AWS and containerized deployments (Docker, ECS). Strong grasp of secure coding practices and data handling. Excellent communication 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 ❯

team and lead the design and delivery of intelligent workflows and applications for enterprise clients. About Luxoft Luxoft, a DXC Technology Company, is a global digital strategy and software engineering firm helping over 425 clients innovate across industries including financial services, automotive, healthcare, and telecoms . With a presence in 44 cities across 21 countries , we combine engineering … AIP) to build scalable, intelligent systems. This is a hands-on role for a self-starter who thrives in complex environments and enjoys collaborating directly with stakeholders. Key Responsibilities Data & Workflow Engineering: Build scalable pipelines, transformations, and applications in Palantir Foundry AI Enablement: Design and deploy AIP use cases (copilots, retrieval workflows, decision-support agents) Implement RAG (retrieval … AIPs native tools End-to-End Delivery: Capture requirements, design solutions, and deliver working applications User Engagement: Train and support business teams adopting Foundry and AIP Governance & Trust: Ensure data quality, governance, and responsible AI practices Continuous Improvement: Identify opportunities to expand AIP adoption and improve automation What Youll Bring Experience as a Data & AI Engineer Hands-on 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 ❯