1 to 25 of 204 DataOps Jobs in England

operationalising these on Azure. Experience working with stakeholders across business, product and engineering to define KPIs, SLAs and data contracts. Familiarity with DBT, DataOps practices and modern transformation tooling is desirable. Experience supporting digital products, automation platforms, AI solutions, or enterprise applications. Understanding of Generative AI, Large Language Models (LLMs ...

data platforms support AI and machine learning, including feature data, retrieval and data preparation for generative AI. Experience of data observability and DataOps practices. Experience in a channel, reseller or technology partner environment Experience creating reusable offerings, reference architectures or assessments within a consulting or pre‐sales practice. Experience mentoring ...

data platforms support AI and machine learning, including feature data, retrieval and data preparation for generative AI. Experience of data observability and DataOps practices. Experience in a channel, reseller or technology partner environment Experience creating reusable offerings, reference architectures or assessments within a consulting or pre-sales practice. Experience mentoring ...

/ML engineering practices, feature pipelines, model productionization, LLM‐based applications, or agentic AI patterns will be an added advantage Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident support Maersk is committed to a diverse and inclusive workplace, and we embrace different styles ...

Ready Data Assets - Build trusted, well-modelled datasets and semantic models that enable self-service BI, regulatory reporting and data-driven decision making. Champion DataOps & DevOps - Develop automated deployment pipelines, CI/CD processes and engineering standards using Azure DevOps and Git-based development practices. Drive Data Quality & Governance - Implement ...

improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level. Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ...

Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps and DataOps Experience of IaC tools, particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies and approaches Consultancy ...

Technologies Data processing libraries & Schema Management tools like Pandas and Pydantic Storage Formats: Familiarity with data types such as JSON and Parquet DevOps and DataOps Experience of IaC tools, particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies and approaches Consultancy ...

lifecycle, including role- or attribute-based access, row or document-level permissions, masking or tokenisation, retention, tenant isolation and audit logging. Apply software and DataOps practices including Git, automated testing, CI/CD, infrastructure as code where relevant, performance tuning, cost optimisation and production support. Collaborate with finance SMEs, data ...

understanding of various data architectures, such as Lakes and Warehouses Knowledge of data cleansing and transformation within unified, standardised schemas Basic SQL DevOps and DataOps Awareness of IaC tools, particularly Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly on Cloud services ...

understanding of various data architectures, such as Lakes and Warehouses Knowledge of data cleansing and transformation within unified, standardised schemas Basic SQL DevOps and DataOps Awareness of IaC tools, particularly Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly on Cloud services ...

Java ETL/ELT design and data pipeline orchestration Streaming and event-driven data architectures Agile and DevOps delivery methodologies applied to data platforms (DataOps) Expertise in data architecture and modelling (conceptual, logical, and physical) Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service mesh) Benefits ...

Scrumconnect Consulting in Blackpool, UK, is seeking an experienced DevOps Engineer – Data Engineer with hands-on Power BI and native AWS skills to build and operate scalable data solutions and analytics platforms. You will join ...

user stories into practical architectural designs that can be delivered by our Data Engineering team, whilst supporting our broader move towards a Dev/DataOps culture and a more product-led approach to data. About the team The Technology team provides expertise and effective solutions to Penguin Random House. ...

standards and promote best practice across Data & AI Operations. Lead continuous improvement, including optimising long-running data pipelines and operational processes. Support DataOps, AIOps and MLOps activities across the team. Oversee the operational monitoring and governance of AI solutions, including emerging agentic AI capabilities. Support the implementation and ongoing optimisation ...

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Experience in the following things isn’t essential, but it’s highly desirable! Working ...

provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. Experience in improving resilience into a project by checking for software vulnerabilities and implement appropriate ...

AND Digital is seeking a Data Engineer for Skipton/Hybrid. You will build data pipelines and bring data to life for decision making, with hands-on work on data quality and information flow. Proficiency ...

client deliverables. Communicating effectively with clients to discuss project progress and details as required. Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards. Hands-on involvement in data integrations, warehousing, automation and related engineering tasks. Overseeing the deliveries across multiple clients ...

client deliverables. Communicating effectively with clients to discuss project progress and details as required. Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards. Hands-on involvement in data integrations, warehousing, automation and related engineering tasks. Overseeing the deliveries across multiple clients ...

structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake as a core cloud data platform. Use DataOps.live practices and tooling to support version-controlled, automated, and repeatable … triggers, linked services, datasets, and monitoring. Strong SQL skills and experience working with cloud data platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment management. Understanding of Data Product concepts, metadata, governance, and documentation practices. Good-to-have experience in Power ...

Model data structures, flows and architectures to support analytics and operational use cases Implement data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What theyre looking for Strong experience ...

data modelling, architecture, governance, quality and operational resilience Build data foundations capable of supporting AI, ML, vector search and advanced analytics Establish strong DataOps, CI/CD, observability and data quality practices Lead and develop a high-performing data engineering function Partner with Product, Engineering, Data Science and senior leadership ...

workflows to support operational requirements and analytics. Implement and maintain data storage solutions across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver ...

engineers and contribute to team capability building. Technical Stack Core: SQL Server Databricks Infrastructure as Code (Terraform, Bicep) REST APIs GitHub Actions Microsoft Fabric DataOps practices What You'll Bring Solid understanding of data architecture, APIs, and modern data pipeline design. Strong experience within Microsoft's Azure ecosystem, combined with ...