1 to 25 of 95 Permanent DataOps Jobs in the UK excluding London

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 ...

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 ...

/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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

Dataflow, Pub/Sub, Cloud Interconnect, and Apigee. Experience with Infrastructure as Code (e.g., Terraform) and CI/CD principles in a data context (DataOps). Strong leadership and communication skills, with the ability to influence senior technical stakeholders and mentor other engineers. If you're excited about this role ...

organisation, aligning cloud-native data solutions with regulatory compliance and analytics needs. You will establish standards, mentor engineers, and promote best practices in DataOps, CI/CD, and Infrastructure as Code, while partnering with the Head of Data Engineering to deliver the #J-18808-Ljbffr ...