26 to 50 of 153 DataOps Jobs in England

that are commercially sound and technically viable. Data Quality & MLOps Governance: Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/DataOps practices to guarantee model reliability and pipeline performance. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale data programmes … with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Strong financial governance (P&L management, margin optimization, commercial ...

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation’s interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable ...

Are you passionate about building trusted customer data foundations that power meaningful marketing decisions? Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes? About the BusinessLexisNexis ...

hackajob is partnering directly with Moody's Corporation to hire for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving ...

cloud-based data solutions and set standards to enable data-driven decision-making and advanced analytics. You will mentor data teams, drive DevOps/DataOps adoption, oversee governance, quality and security, and collaborate with architects and stakeholders to shape the data strategy. #J-18808-Ljbffr ...

Team Leader - Data Engineering & Integration - Commodities Data Location London Business Area Data Ref # 10052628 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint ...

Microsoft Fabric Data Engineer SQL, Python, PySpark Microsoft Fabric pipelines, Lakehouses, Warehouses and semantic models Microsoft Fabric Data Engineer – Contract (Hybrid 2-3 days/wk) Greater Manchester Our Financial Services client has a contract ...

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 02 September 2026 Requisition ID: 400078171 We’d all like amazing ...

Business Analyst (Senior Data Analyst) Location: LHR139, London EC2A 3NP Contract Duration: 24 months Start Date: ASAP Pay Rate: £255.28 - £283.68 Daily Working Hours: 40 hours per week Remote Work: 3 days onsite per week ...

DataOps Engineer – Finance 120,000 Plus Bonus Quant Capital is urgently looking for a Data Ops Analyst to join our high profile client. Our client is one of the largest Quant Investment managers globally, with around 20 billion under management. They are mainly quant based but have High frequency ...

appropriate to Comply's use casesData Pipeline & Platform EngineeringBuild reliable, observable data pipelines that feed the semantic layer from upstream broker andregulatory data sourcesApply DataOps practices including testing, monitoring, lineage tracking, and SLAsWork with Data Engineers and Backend Engineers to embed semantic models into APIs and data contractsEnsure the semantic … Experience working directly with ontologists or knowledge engineers is a plus. Familiarity with data contracts and data product frameworks is a plus. Experience with DataOps tooling, data reliability, or data observability platforms is desirable. Background in financial services, RegTech, or compliance data is a plus. To learn more about ...

integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security, lineage, privacy (GDPR, CCPA), and financial regulations (BCBS 239, DORA, Basel). DataOps & MLOps Execution: Track record of establishing automated CI/CD pipelines and agile practices that accelerate time-to-value. Executive Advisory: Strong C-suite presence … resilient architectures. Standardize tooling, schema evolution frameworks, and canonical modeling guidelines across teams. Enforce modern practices including CI/CD, IaC, automated testing, and DataOps telemetry. Ensure architectures comply with info-security, privacy, and regulatory standards (BCBS 239, DORA, GDPR, HIPAA). Uphold SM&CR standards and regulatory alignment with ...

Summary We are seeking a highly-analytical and commercially-minded Pricing Data Architect to design and manage the data foundations that enable modern pricing, packaging, deal governance, and commercial analytics across the business. This role ...

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state ...

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they ...

Lead Data Platform Engineer – DataOps Location: Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About the Role We are seeking a Lead Data Platform Engineer to own the resilience, scalability, and security of our core financial data ecosystem. This senior, hands‐on engineering role requires a technical expert who thrives ...

approaches across the data platform Translate security, privacy and governance requirements into practical engineering solutions Help establish self-service capabilities for data consumers Champion DataOps principles including automated testing, CI/CD and infrastructure automation Influence the longer-term data and AI technology strategy What we're looking … Airflow and Terraform , or comparable technologies Strong knowledge of ETL/ELT and data integration patterns Understanding of CI/CD, automated testing and DataOps practices Awareness of data security including access control, encryption and data privacy Experience working closely with Data Engineering, Security, Governance and Product teams The ability ...

DataOps Engineer – Finance 120,000 Plus Bonus Quant Capital is urgently looking for a Data Ops Analyst to join our high profile client. Our client is one of the largest Quant Investment managers globally, with around 20 billion under management. They are mainly quant based but have High frequency ...

As the UKs leading provider of environmental compliance, Valpak strives to work together towards a profitable, sustainable, waste-free world. To date, our teams work in partnership with more than 400 customers, in nearly every ...

the company is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what ...

Principal accountabilities and responsibilities: Lead product delivery of data foundations for Operational Resilience , providing a governed, reusable data layer that underpins how the bank measures resilience, maps service dependencies and tests scenario assumptions across Procurement ...

LondonBusiness Units – Maritime and Logistics/Full-time/HybridAt Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations ...

About Sigmoid Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world ...

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success. Key Responsibilities To push further ...

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI ...