1 to 25 of 145 DataOps Jobs in the UK

analytics, pricing, operations, finance, and product to understand their data needs and ensure the platform meets them. Manage project timelines, risks, dependencies, and budget where appropriate. Champion DevOps/DataOps practices, CI/CD for data pipelines, and infrastructure-as-code where applicable. Stay abreast of new developments in data architecture and cloud technologies and bring innovation into the team. More ❯

this role, your main responsibilities and deliverables will be to build and maintain ETL pipelines, create foundational data models in our data warehouse, and integrate new data sources using DataOps best practices, including documentation and testing. You will also support other data specialists in their work to make their queries and tables efficient and their use of data effective. We More ❯

This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly More ❯

Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 7 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS More ❯

Data Lake, Synapse, Data Factory) and their integration with Power BI. · Knowledge of data modelling techniques including star/snowflake schema design for BI solutions. · Understanding of DevOps/DataOps principles as applied to Power BI CI/CD and workspace automation. More ❯

LMAX Group is looking for a highly skilled and passionate Data Operations Engineer/Developer to join our team and help build and scale our data processing infrastructure. In this role, you'll develop high-performance data pipelines, real-time More ❯

cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying SOLID, DRY, and TDD principles practically Agile methodologies such as More ❯

cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying SOLID, DRY, and TDD principles practically Agile methodologies such as More ❯

cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying SOLID, DRY, and TDD principles practically Agile methodologies such as More ❯

cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying SOLID, DRY, and TDD principles practically Agile methodologies such as More ❯

or function Combining data science, analytics and engineering Strong understanding of various architectures including data warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various More ❯

data management culture by advocating for our strategy and proactively challenging the way the firm works with data. This role sits within the Data Contracts service area in the DataOps team within GDMO. The Data Contracts team is responsible for efficient and effective governance over producer/consumer relationships, in relation to data. This includes the strategy, minimum standards, methodology More ❯

data management culture by advocating for our strategy and proactively challenging the way the firm works with data. This role sits within the Data Contracts service area in the DataOps team within GDMO. The Data Contracts team is responsible for efficient and effective governance over producer/consumer relationships, in relation to data. This includes the strategy, minimum standards, methodology More ❯

days per week£55,000-£67,000+ Excellent Benefits18 Months FTC with long term potential Your New Company Our large public sector organisation are seeking a senior Data Platform DataOps Engineer to serve as our clients first DataOps specialist in a growing team of Data Engineers and DevOps professionals.In this pivotal role, you will focus on operationalising and automating their … business requirements. Optimize operational performance and cost management for services including Azure Data Factory, Azure Databricks, Delta Lake, and Azure Data Lake Storage. Serve as the domain expert in DataOps by providing strategic guidance, mentoring colleagues, and driving continuous process improvements. What you will need Demonstrable experience in DataOps, Data Engineering, DevOps, or related roles focused on managing data operations More ❯

differentiation in the marketplace. •Data Governance: Experience in data governance, managing interactions across various data disciplines to ensure consistent, high-quality data delivery. •Agile Methodologies: Familiarity with Agile and DataOps practices. •Statistical Process Control: Capable of implementing and managing controls for data quality measurement and remediation. •SQL Proficiency: Strong skills in writing efficient SQL queries for large datasets in distributed More ❯

to motivat e cross functional squads to deliver complex technical initiatives. Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps/DevOps maturity. Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t. Modern data More ❯

teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency … such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Stron g More ❯

you will be developing and deploying the next version of Contilio's cutting-edge 3D AI platform. Working in an agile manner, you will collaborate closely with the AI, dataops andproduct teams toimplement customer requirements and delight our globalenterprisecustomers. We offer competitive compensation andequity ownership, as well asthe opportunityto take on more ownershipas we grow our team and global footprint. More ❯

document all aspects of Netcompany focused solutions and so requires a broad technical understanding across Data & AI, Cloud, Solution Architecture, Data Engineering/Science/Governance and DevOps or DataOps, leveraging our capabilities and expertise in each of these areas to develop appropriate solutions. The role is required to be able to effectively communicate the solutions to both business stakeholders More ❯

BioData Innovation Centre) Amsterdam Oxford Aalborg time type Full time posted on Posted 5 Days Ago job requisition id R98188 About the Team: The Academic Information Systems ( AI S) DataOps team is a shared technology group responsible for building, administering, governing, and setting standards for a growing number of strategic data platforms and services. Our capabilities enable data to be … operational efficiency, reliability, and scalability through improvements in logging, monitoring, and observability. Support platform evolution and data governance by identifying capability gaps, implementing necessary tooling and processes, and promoting DataOps through leadership and user feedback initiatives. Requirements: Deploy and govern modern data stack technologies (e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for …/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes. Participate actively in Agile delivery, including ceremonies, requirements refinement, and fostering a culture of iterative improvement. Provide thought leadership in the data platform landscape by building well More ❯

Data Engineer - STR - London, UK Job Description OVERVIEW CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar More ❯

the office (Victoria, London)/3 day remote Start - ASAP, need to have the ability to start by 8th August Spec - PURPOSE OF POST: Load Testing Plan and Execution DataOps practices (CI/CD for schema) Query tuning & execution plan analysis Governance, auditing, and compliance enforcement Working with developers to write scalable SQL Proactive anomaly detection using Query Store or More ❯

communication skills to explain data-driven insights Proficiency in Python, R, and experience with large datasets Collaborative and adaptable working style Desirable: Knowledge of, Git, AzureDevOps, and Agile/DataOps practices.£300 Per Day Inside IR356 month contract Remote working - Attendance in Brighton office once every few monthsPlease get in touch for further information. Morgan Hunt is a multi-award More ❯

and fit for purpose. Responsibilities Assist the technical lead in driving solutions to complex problems Build new and enhance existing services and their components Contribute to improving development and DataOps experience Look for ways to help others, whether this be through mentoring, pair programming or other approach to knowledge sharing Skills & Experience Advance skills in Python Experience of using ORM More ❯

the importance of change control and work within a formal change control system. Support DevOps in the delivery of applications and services at high velocity. Support IT, DevOps and DataOps in the maintenance of support of environments (performance, capacity, availability). Project Delivery Guide team development efforts towards successful product delivery. Take responsibility for development estimates, code quality and timely More ❯