26 to 50 of 238 DataOps Jobs in the UK

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 ...

customers. Support Proof of Concepts and pre-sales engagements with credible, hands-on technical depth. Establish best practices for governance, security, CI/CD, DataOps and MLOps. Collaborate closely with Databricks and internal delivery teams. Mentor engineers and help grow the consultancy's technical capability. What We're Looking ...

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 ...

issues. Collaborate with client teams, architects, and internal stakeholders to translate business needs into technical solutions. Mentor engineers, contribute to technical standards, and promote DataOps and engineering best practices across the team. Communicate architecture decisions, progress, and analysis clearly to technical and non-technical audiences. Required Skills 7+ years …/CD tooling such as Jenkins, GitHub, or Cloud Build. Strong understanding of data security in regulated environments. Strong knowledge of DevOps/DataOps and Agile delivery practices. Excellent written and verbal communication skills. Strong analytical, debugging, and problem-solving skills. Nice to Have GCP Professional Data Engineer or Professional ...

such as Flink, Kafka Streams and Kafka Connect Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog Exposure to DataOps practices and collaboration with Data Engineering teams Familiarity with GPU‐accelerated analytics using Spark with GPUs or RAPIDS Programming experience with Java, Scala, C#, Python ...

such as Flink, Kafka Streams and Kafka Connect Knowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data Catalog Exposure to DataOps practices and collaboration with Data Engineering teams Familiarity with GPU-accelerated analytics using Spark with GPUs or RAPIDS Programming experience with Java, Scala, C#, Python ...

Snowpark, AWS Bedrock, SageMaker, vector search and semantic search architectures Experience delivering Business Intelligence platforms, self-service analytics solutions and working knowledge of DataOps, MLOps and LLMOps practices Demonstrable experience working in telecommunications and using industry best practice frameworks such as TM Forum, TOGAF, ITIL, BPMN and UML Life ...

understand business requirements and translate them into robust technical solutions. Contribute to solution architecture, platform design, and technology selection decisions. Implement software engineering and DataOps best practices including testing, observability, CI/CD, version control, and infrastructure automation. Develop and optimise data models, transformations, and storage layers to ensure performance … Apache Spark, Airflow, Dagster, Kafka, Flink, or equivalent tooling. Solid understanding of data lakehouse, warehouse, and medallion architecture patterns. Experience applying DevOps and DataOps best practices including CI/CD, automated testing, monitoring, observability, and release management. Experience with Infrastructure as Code technologies such as Terraform, Pulumi, CloudFormation, or Bicep. ...

with multidisciplinary teams to deliver high-impact data solutions. You will code in Python and SQL, work with Snowflake and Azure Databricks, and apply DataOps principles to ensure data quality, governance, and scalable data products across client projects. #J-18808-Ljbffr ...

stakeholder management skills. Desirable Experience Snowflake, cloud data warehousing and modern data platform delivery. AWS data services, cloud-native architecture and data pipeline orchestration. DataOps, automated deployment, Infrastructure as Code and release automation. Agile software development, code reviews, test-driven development and engineering quality assurance. AI-assisted software engineering, generative ...

Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join AND Digital? We have three core values: wonder, share, and delight. These values inform how we work with clients, and our culture: what ...

Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join our client? Were building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way. ...

working, ideally with worked examples Examples of contributing to or leading technical communities of practice (e.g. chapters, guilds, architecture councils). Practical knowledge of DataOps principles, including CI/CD for data and the orchestration of complex pipelines (e.g., AWS, Debezium, Git, Infra as Code). Good commercial knowledge ...

Principal Data Engineer will establish engineering standards, shape platform strategy, mentor engineers and provide authoritative guidance on best practices across data architecture, platform design, DataOps, governance and cloud engineering. Your responsibilities will include... Act as the senior Azure Data Platform expert within the Data Engineering function, providing technical leadership, architectural … environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing DataOps, DevOps, CI/CD and Infrastructure as Code practices to drive continuous improvement, platform optimisation and operational excellence What ...

Principal Data Engineer will establish engineering standards, shape platform strategy, mentor engineers and provide authoritative guidance on best practices across data architecture, platform design, DataOps, governance and cloud engineering. Your responsibilities will include... Act as the senior Azure Data Platform expert within the Data Engineering function, providing technical leadership, architectural … environments, driving adoption of cloud-native Azure services and best-practice engineering approaches Providing technical leadership, mentorship and guidance to Data Engineers while championing DataOps, DevOps, CI/CD and Infrastructure as Code practices to drive continuous improvement, platform optimisation and operational excellence What ...

cloud-based platforms. Define appropriate transition architectures and approaches that support successful implementation and ongoing operation. Engineering Standards & Optimisation Establish effective approaches to DataOps, CI/CD and infrastructure automation. Promote strong engineering standards, reusable implementation approaches and effective monitoring. Support the performance and cost optimisation of cloud data environments. … batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. Experience with modern engineering and deployment practices, including DataOps, CI/CD and infrastructure as code. Strong technical problem-solving skills and the ability to translate complex requirements into practical solutions. Experience leading complex ...

Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Equal Opportunities Statement Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting ...

technical workshops, architecture reviews and discovery sessions. Support Proof of Concepts and pre-sales engagements. Establish best practices for governance, security, CI/CD, DataOps and MLOps. Collaborate closely with Databricks and internal delivery teams. Mentor engineers and help grow the consultancy's technical capability. What We're Looking ...

scale. You Might Be a Great Fit if You: Have experience at tech and product-driven companies, with a big focus on data quality, DataOps and data management at scale Have experience developing data warehouses/lakehouses Have used a variety of tools across the data stack and can select ...