13 of 13 Contract Big Data Jobs in the UK

Data Engineer - Leicester Based Role Purpose: This role is focused on supporting the development and implementation of a robust data model for banking data. You will work closely with a small technical team and liaise with IT to ensure the model is productionised effectively. The ideal candidate will bring strong technical data analysis skills, experience with big data technologies, and the ability to communicate complex insights clearly to stakeholders. Key Responsibilities: Collaborate with a small team to build and refine a banking-focused data model. Liaise with IT teams to transition data models into production environments. Conduct data mining and exploratory data analysis to support model development. Apply strong SQL, Hadoop … and cloud-based data processing skills to manage and analyse large datasets. Support the design and structure of data models, with a working understanding of data modelling principles. Present findings and insights to stakeholders in a clear and engaging manner. Use reporting and visualisation tools such as Power BI to deliver business insights. Contribute to the development More ❯

Data Analytics Engineer Location: Central London - hybrid working Rate: £500.00 per day inside IR35 Duration: 12 months We are working with a leading global player in the travel industry who are seeking a Data Analytics Engineer to join their data team. This role sits at the intersection of data analysis and data engineeringideal for someone … who enjoys building scalable data solutions while staying close to business impact. The Role As a Data Analytics Engineer , youll design, build, and maintain reliable data pipelinesprimarily using PySpark, SQL, and Python to ensure business teams (analysts, product managers, finance, operations) have access to well-modeled, actionable data. Youll work closely with stakeholders to translate business needs … into technical solutions, ensuring data is trusted, scalable, and production-grade. Unlike pure Data Engineers, youll be closer to the business, shaping analytics-ready datasets. Unlike pure Data Analysts, youll spend more time coding, managing data infrastructure, and ensuring pipeline reliability. Who Were Looking For Data Analytics : Analysts who have strong experience building and maintaining More ❯

Job Title: Data Modeler Role Summary: We are seeking a skilled Data Modeler to design, develop, and maintain enterprise data models that support business intelligence, analytics, and application development initiatives. The role involves working closely with business stakeholders, data architects, and engineering teams to translate business requirements into logical, physical, and conceptual data models, ensuring … data integrity, scalability, and alignment with enterprise standards. Key Responsibilities: Design and implement conceptual, logical, and physical data models to support business and technical requirements. Collaborate with data architects, analysts, and engineers to ensure accurate translation of business needs into data solutions. Maintain data dictionaries, metadata, and documentation for consistency and reusability across the organization. … Optimize data models for performance, scalability, and integration with existing systems. Ensure compliance with data governance, security, and quality standards. Support ETL and data integration processes by providing modeling inputs. Work on relational, dimensional, and NoSQL data modeling depending on project needs. Required Skills & Experience: Strong experience in data modeling concepts (conceptual, logical, physical, dimensional More ❯

Lead Data Engineer Leeds/Hybrid 3 months with strong change of extension Competitive daily rate, Outside IR35 Why Apply? This is a fantastic opportunity for a Contract Lead Data Engineer to work on a Proof of Concept project with a leading organisation. You'll be the data SME on a high impact initiative, shaping the way … business critical data is extracted, transformed, and analysed. Lead Data Engineer Responsibilities Lead a POC project to determine the most effective approach for enabling data analysis from an Azure Data Lake. Explore and implement solutions using Databricks, Synapse, and other big data technologies. Design processes to filter, extract, and export Parquet files for business … user investigation. Collaborate with architects, project managers, and business stakeholders as the data subject matter expert. Provide accurate technical input into project updates and status reporting. Lead Data Engineer Requirements Proven experience as a Lead Data Engineer on enterprise-scale cloud data projects. Strong hands on knowledge of Azure Data Lake environments. Expertise in Databricks More ❯

Our client, a nationwide Transportation company is looking for a Data Analyst to join their growing team! Do you thrive in a dynamic environment where your analytical skills can make a real difference? If so, we have the perfect opportunity for you! This company is looking for someone passionate about turning data into actionable insights. Role: Performance Data Analyst Contract Type: Interim Day rate: up to £400/day depending on experience Location: London OR Crawley (hybrid - 3 days per week in office) As a Data Analyst, you will provide meaningful insights, analysis, and reporting for stakeholders, driving performance improvement through enhanced reporting and key trend analysis. You'll support data projects and help develop … systems that leave a legacy of better data insights. Key Accountabilities: Conduct deep analysis of existing data sets to uncover areas for improvement. Perform statistical analysis on big data to identify trends. Create tools and platforms for data automation. Conduct diagnostic analysis to pinpoint routine performance losses. Enhance the internal reporting suite to improve data More ❯

Job Title: Data Scientist We're looking for a sharp, strategic Data Scientist to lead the development of scientific standards for evaluating competitor data-especially market share insights. You'll design methods to improve reliability, support senior leaders with actionable intelligence, and mentor colleagues across projects and domains. What you'll do:* Build models to assess and … replace costly market share data sources* Advise teams and elevate data capabilities across the business* Drive competitor insight strategies for high-impact decision-makingKey skills: Python, SQL, Data Modeling, Machine Learning, Market Research, Big Data, Operations Research Hybrid: London 2 days Day Rate: Outside Please send me your CV to More ❯

Job Title: Data Scientist We're looking for a sharp, strategic Data Scientist to lead the development of scientific standards for evaluating competitor data-especially market share insights. You'll design methods to improve reliability, support senior leaders with actionable intelligence, and mentor colleagues across projects and domains. What you'll do: * Build models to assess and … replace costly market share data sources * Advise teams and elevate data capabilities across the business * Drive competitor insight strategies for high-impact decision-making Key skills: Python, SQL, Data Modeling, Machine Learning, Market Research, Big Data, Operations Research Hybrid: London 2 days Day Rate: Outside Please send me your CV to (url removed More ❯

Qualifications Proven experience as a SnapLogic Developer/Engineer. Strong expertise in SnapLogic pipeline design, integration patterns, and deployment. Solid understanding of APIs, web services (REST/SOAP), and data formats (JSON, XML, CSV, Flat Files). Hands-on experience in error handling, debugging, and performance tuning of integrations. Familiarity with relational databases (SQL/NoSQL) and cloud platforms … integration platforms. Exposure to DevOps, CI/CD pipelines, and version control tools (Git, Bitbucket). Knowledge of enterprise applications such as Salesforce, Workday, SAP, or ServiceNow. Experience with data warehousing, big data, or analytics platforms. More ❯

Analytics & BI Manager to join our dynamic team within the banking sector. With over 30 million customers and billions of transactions, you will tap into one of the richest data ecosystems in the country, leveraging AI and Generative BI to redefine how insights are created and consumed. Key Responsibilities: Solution Ownership: Design and deliver Generative BI solutions that tackle … semantic models that enable conversational analytics and empower self-service intelligence at scale. Tool Selection: Champion the use of Google Cloud & Power BI Copilot, selecting appropriate tools to navigate big data and surface actionable insights. Data Narratives: Craft compelling data narratives for diverse audiences, ensuring clarity and relevance from technical teams to executive leadership. Generative Workflows … initiatives and establishing best practices. Mentorship: Contribute to the Gen BI playbook and mentor team members on advanced techniques. Skills & Experience: Proven experience in delivering enterprise-scale BI or data science solutions, preferably with generative or self-service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding More ❯

Analytics & BI Manager to join our dynamic team within the banking sector. With over 30 million customers and billions of transactions, you will tap into one of the richest data ecosystems in the country, leveraging AI and Generative BI to redefine how insights are created and consumed. Key Responsibilities: Solution Ownership: Design and deliver Generative BI solutions that tackle … semantic models that enable conversational analytics and empower self-service intelligence at scale. Tool Selection: Champion the use of Google Cloud & Power BI Copilot, selecting appropriate tools to navigate big data and surface actionable insights. Data Narratives: Craft compelling data narratives for diverse audiences, ensuring clarity and relevance from technical teams to executive leadership. Generative Workflows … initiatives and establishing best practices. Mentorship: Contribute to the Gen BI playbook and mentor team members on advanced techniques. Skills & Experience: Proven experience in delivering enterprise-scale BI or data science solutions, preferably with generative or self-service capabilities. Deep understanding of solution design principles and the ability to deliver interlocking benefits across teams and platforms. Strong statistical grounding More ❯

systems. Key Responsibilities: Design, build, and deploy AI/ML models for real-world business use cases. Work with NLP, computer vision, and generative AI frameworks where applicable. Develop data pipelines and integrate models into production systems. Collaborate with data scientists, engineers, and product teams to define AI solutions. Ensure scalability, performance, and ethical AI practices. Required Skills … Experience: Strong experience in Python, TensorFlow, PyTorch, Scikit-learn or similar frameworks. Solid understanding of machine learning, deep learning, NLP, or computer vision. Hands-on with data engineering, model deployment (MLOps), and cloud platforms (AWS, Azure, GCP). Strong problem-solving, algorithmic, and analytical skills. Knowledge of big data tools (Spark, Hadoop) is a plus. More ❯

cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training. Install, configure, and monitor servers, ensuring smooth system performance. Optimize shared and local storage for big data ML workloads. Build and scale containerized applications using Docker, Kubernetes, Terraform, etc. Collaborate closely with ML engineers and developers to streamline workflows. Respond to production incidents, analyze More ❯

Docker, Kubernetes, OpenShift) xUnit Agile working practices CI/CD tooling Scripting experience (Python, Perl, Bash, etc.) ELK (Elastic stack) JavaScript Cypress Linux experience Search engine technology (e.g., Elasticsearch) Big Data Technology experience (Hadoop, Spar k , Kafka, etc.) Microservice and cloud native architecture Desirable: Able to demonstrate experience of troubleshooting and diagnosis of technical issues. Able to demonstrate More ❯