1 to 25 of 284 DataOps Jobs in the UK

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. ...

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 ...

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 ...

Code (IaC) solutions using modern automation frameworks. Build and maintain CI/CD deployment pipelines. Implement automated testing and deployment strategies. Support DevSecOps and DataOps engineering practices. Automate infrastructure provisioning and environment management. Implement automated release management across multiple environments. Improve deployment reliability through engineering automation. Security, Governance & Compliance Apply ...

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 ...

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 ...

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 ...

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 ...

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 ...

transformation.Strong 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 understanding ...

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 ...

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 ...

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 ...