51 to 63 of 63 Data Quality Jobs in Northampton

We’re supporting a forward-thinking tech company on the lookout for a Senior Data Engineer to lead the build of a brand-new, centralised enterprise data warehouse — the company’s single source of truth. This is a high-impact, greenfield role where you’ll own everything from … architecture to deployment. If you're passionate about data, thrive in agile teams, and want to shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball … Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate with engineers, analysts and product teams Lead best practices and mentor others in the data space What They’re looking for: Strong SQL and Python skills Experience More ❯

role will report into Operations Lead UK and Europe. You will work alongside the Sales & Distribution, Technology, Finance and Outsourced Operations teams to manage data onboarding, premium and cash management of speciality underwriters within Europe and UK, at Accelerant we call them members. In this role you will build … relationships and intimate knowledge of our Members data, technology and processes and will be the point contact on all data queries, problems and solutions. You will work alongside our members to assist them in the analysis and resolution of data quality issues that impact data ingestion, regulatory compliance, and reporting, utilising your knowledge and experience of the applicable data standards. Your role will contribute to the overall success of the Operations function who are charged with transforming our data processes to deliver governed, timely and high-fidelity data sources. Key Responsibilities More ❯

Our client is a leading global investment management firm, seeking a Data Engineer to join an experienced team responsible for managing all data feeding into trading strategies across various asset classes and leveraging data pipelines heavily in your day-to-day to carry out the following: Job … Responsibilities: Understanding new and existing data products delivered by data vendors and liaising with them as a technical stakeholder. Using Python coding to translate these products into datasets optimised for trading system consumption. Create and maintain automated data quality tests to ensure all datasets meet the … standards determined by quant strategies. Support the day-to-day operations of data pipelines by responding to issues and solving real-time problems. Requirements: Bachelors or Masters degree in a STEM subject. 2+ years experience in Python and SQL. Experience working with large datasets. Exceptional communication and collaboration skills. More ❯

support of a major organisation's Salesforce platform Drive adoption and optimise the use of Salesforce across teams to help the organisation become more data-driven Act as the in-house Salesforce technical expert, overseeing implementation, integration, and support Define and design Salesforce application and data architecture Line … Lead on system upgrades, enhancements, and testing to maintain a stable and efficient platform Provide staff training and support to maximise Salesforce capability and data quality Set technical standards, coach team members, and review Salesforce releases for impact and opportunities Work with Product Owners, Business Analysts, and End … to implementation Design technical solutions based on business requirements and maintain project code in source control Oversee project risks and ensure on-time, high-quality delivery Support strategic IT and Digital planning and resource allocation Champion collaborative working across internal teams for seamless delivery of systems and services Key More ❯

ll Be Doing 💼💻: Process Excellence: Review existing financial processes to identify opportunities for automation and enhancements, such as eliminating manual processes, reducing duplication, improving data quality, and enhancing solutions. Collaboration: Work collaboratively with functional teams, including Project Managers and Business Analysts, providing necessary information regarding project activities and … systems, and functional areas. Deliverables: Ensure build deliverables meet process design requirements across technical and functional specifications, and that configurations meet approved business outcomes. Data Management: Understand the data landscape, lead planning and resolution of data challenges, and address cleanse requirements. Testing: Define test scenarios, complete testing More ❯

Hemel Hempstead (Hybrid – 3 days in office/2 days remote) Permanent | Full Time Competitive Salary + Bonus and Benefits Join Us in Driving Data-Led Decisions We’re looking for a talented Decision Scientist to join our Commercial team at Haven, playing a key role in automating and … optimising our Holiday pricing system. This is an exciting opportunity for a data-driven professional to shape strategic decisions using statistical modelling, machine learning, and operations research techniques. With a strong emphasis on business impact, you’ll work collaboratively across departments to transform data into clear, actionable insights … to complex business problems Build and maintain decision science algorithms to support commercial strategies Deliver compelling insights to stakeholders, clearly communicating technical outputs Ensure data quality and integrity throughout all analysis projects Document processes to ensure replicability and long-term use Provide technical guidance to peers and junior More ❯

Proven experience working with Microsoft Dynamics 365 F&O and Field Service. Solid understanding of supply chain workflows and field service operations. Skilled in data analysis and reporting, with proficiency in Power BI and Excel. Excellent problem-solving abilities, with strong communication and stakeholder engagement skills. Experience supporting or … to multi-country rollouts across Europe. Identify operational inefficiencies and help implement system and process improvements across the supply chain. Maintain high standards of data quality and deliver clear, insightful reports using tools like Power BI and Excel to inform business decisions. Create and maintain system documentation and More ❯

applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration … through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/… peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute More ❯

A US-based data storage company that provides enterprise-grade object storage solutions for fortune 500 companies is expanding. They are pre-IPO and require a Director of Growth Marketing to manage a global team and be responsible for the strategies and programs that drive customer acquisition, engagement and … retention. This marketing leadership position will align marketing initiatives with sales and business goals, and lead growth by building awareness and pipeline. Data-driven insights and innovative marketing strategies and tactics are the foundation of the role, and support a culture of continuous improvement. Responsibilities: Manage all paid and … value. Focus on careful targeting and appropriate messaging for each stage of the marketing funnel. Predictably contribute to pipeline, with a focus on lead quality and velocity through conversion cycle in order to meet or exceed aggressive growth targets. Key KPIs will be MQLs, SQLs, Closed/Won, conversion More ❯

delivering robust, scalable systems Collaborative mindset and great communication skills Bonus points for: Experience in financial services, enterprise, or regulated industries Interest in performance, data quality, and system reliability This role would suit someone who enjoys autonomy, thrives in a small but growing team, and is looking for More ❯

ll help improve and maintain our competitive price positioning. This Hybrid role will allow you to enter the world of Pricing working with large data sets and continuously looking for ways to offer our customers the best Pricing whilst maximising profit for the business. Support resolving of pricing issues … suppliers. Maintain regular contact with branches and sales managers to better understand the issues/challenges and resolve the issues with Operational teams. Investigate data quality issues arising from exception reports or direct feedback. Provide analytical support to maintain and improve margin and price perception positions. Capture and … working collaboratively with the wider Pricing team and youll thrive on delivering excellent support to the wider team. Skills and competencies Working with large data sets and a demonstrated history of working on pricing/commercial projects Experience working in a commercial department Good level of experience using Excel More ❯

features in alignment with product and tech roadmaps. Maintain knowledge of Salesforce Media Cloud and Salesforce Industries (Vlocity) capabilities to influence future solutions. Support data quality initiatives, reports, and dashboards tailored to stakeholder needs. Stay up to date on Salesforce releases and propose relevant enhancements. More ❯

objects to meet business needs. Proactively identify system improvements and implement solutions independently. Collaborate with stakeholders to gather requirements and deliver tailored configurations. Monitor data quality, ensure system accuracy, and manage integrations with third-party tools. Provide training and support to users for effective platform utilisation. What We More ❯