1 to 25 of 103 DataOps Jobs in the UK excluding London

Desirable experience/qualifications will include * Azure Data Factory * Microsoft Purview * Python, Spark or PySpark * DevOps, CI/CD pipelines and Infrastructure as Code * DataOps practices * AI, machine learning or advanced analytics platforms * Dynamics 365, CRM or ERP integrations * API integrations and real-time data processing * Experience delivering cloud modernisation ...

integrating multiple business systems, applications and third-party data sources using cloud-based technologies. Desirable experience with Azure Data Factory, Microsoft Purview, Python, Spark, DataOps, DevOps, AI platforms or large-scale cloud modernisation projects. ...

integrating multiple business systems, applications and third-party data sources using cloud-based technologies. Desirable experience with Azure Data Factory, Microsoft Purview, Python, Spark, DataOps, DevOps, AI platforms or large-scale cloud modernisation projects. ...

integrating multiple business systems, applications and third-party data sources using cloud-based technologies. Desirable experience with Azure Data Factory, Microsoft Purview, Python, Spark, DataOps, DevOps, AI platforms or large-scale cloud modernisation projects. ...

solutions meet relevant security requirements and comply with applicable defence industry standards • Improve data delivery through automation, monitoring, CI/CD pipelines and modern DataOps practices • Collaborate with multidisciplinary teams across engineering, production, quality, supply chain and wider business functions What We're Looking For: • Proven experience in data engineering ...

Dynamic Tables, Streams and Tasks, external tables, and Apache Iceberg tables along with orchestration standards (dbt, Airflow, Snowflake Tasks) and CI/CD/DataOps best practices.Implement security-by-design in Snowflake: RBAC, tag-based governance (ABAC), dynamic data masking, row/column-level policies, Tri-Secret/external ...

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 ...

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 ...

file‐based sources. A good understanding of lakehouse, warehouse and dimensional modelling patterns, alongside semantic models and data quality controls. Experience applying effective DataOps and DevOps practices, including Git/source control, automated testing, deployment pipelines and environment management. Experience designing and delivering data solutions with quality, reliability, security, scalability ...

knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep ...

Lake, and Python Design and maintain robust ETL/ELT processes to integrate data from various sources into Azure data services Help to implement DataOps practices to streamline and automate the data lifecycle, ensuring faster delivery and higher quality of data products Design and manage CI/CD pipelines ...

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 ...

analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control practices. Agile delivery environments. Essential consulting skills Our clients look to us for more than technical delivery. Success ...

knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory. Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes. Experience with data quality tools and testing frameworks such as Great Expectations. Deep ...

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 ...

techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift. Proven experience in DataOps, CI/CD (MLOps is a plus) Exceptional written, verbal, and listening communication skills, with the ability to effectively explain complex technical concepts to both ...

analytics and business intelligence. Experience working with cloud‐based data warehouses and modern data‐stack technologies such as Snowflake, dbt and Fivetran. Knowledge of DataOps principles, data modelling, governance and best‐practice development standards. Experience delivering advanced analytics, forecasting, customer segmentation or predictive modelling initiatives. Strong understanding of how data ...

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 ...

doing Building and maintaining ETL/data pipelines Developing data solutions using Python and SQL Designing secure, scalable cloud-based data platforms Applying DataOps and DevOps best practices Working with stakeholders to understand technical requirements Implementing data modelling, orchestration and governance Collaborating across multidisciplinary engineering teams Experience we're looking ...

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 they're 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 ...

issues, and deployment problems. Implement data validation, monitoring, logging, and alerting. Work with development, analytics, and business teams to understand requirements. Follow DevOps and DataOps best practices around version control, automation, testing, and release management. Support continuous improvement of data platforms and reporting solutions. Mandatory: Strong hands-on Power … experience. Strong hands-on experience with native AWS services . Experience in Data Engineering/DataOps . Experience building ETL/ELT data pipelines . Experience with data modelling and data warehousing. Experience with CI/CD and DevOps practices . Experience with Git and source-code management. Strong troubleshooting ...