10 of 10 Contract Big Data Jobs

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 ❯

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 ❯

Data Architect - 6 week contract. AWS/Azure 3 Days on site - outside IR35 Data Architect - Azure - AWS - Outside IR35 - 6 weeks. I have an urgent need for a Data Architect for a 6 week engagement. This role requires 3 days a week on site so you will need to live within commutable distance of Esher. Responsibilities … Working closely with the Group CTO and Solution Architect to perform an analysis of the data in the organisation, from a business perspective, from an operational system perspective or from a reporting perspective Identify weaknesses in data, whether it is table structure, transmission paths, owning system, or anything else that may be impacting efficient use of it Propose … Provide a summary presentation to the executive committee This person must have the following skills: Complex, client facing on-premises and cloud-based database-oriented systems Azure/AWS Data Modelling & Design Deep knowledge of a variety of database technologies, including but not limited to Microsoft SQL Server for relational Databases and MongoDB for non-relational databases Very good 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 ❯

deployment, smart devices and automation Knowledge of cybersecurity or a strong understanding of industrial security frameworks to protect interconnected and automated systems from cyber threats Relevant industry compliance knowledge Data analytics and interpretation: Expertise in collecting, cleansing, analysing, and visualising large datasets (Big Data) from production. Data strategy and governance Use case definitions Skills : Communication and 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 ❯