1 to 25 of 235 Permanent DataOps Jobs in the UK

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 ...

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 ...

improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level. Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ...

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 ...

lifecycle, including role- or attribute-based access, row or document-level permissions, masking or tokenisation, retention, tenant isolation and audit logging. Apply software and DataOps practices including Git, automated testing, CI/CD, infrastructure as code where relevant, performance tuning, cost optimisation and production support. Collaborate with finance SMEs, data ...

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 ...

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 mesh) Benefits ...

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. Essential consulting skills Our clients look to us for more than technical delivery. Success in this role comes ...

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 ...

Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience ...

user stories into practical architectural designs that can be delivered by our Data Engineering team, whilst supporting our broader move towards a Dev/DataOps culture and a more product-led approach to data. About the team The Technology team provides expertise and effective solutions to Penguin Random House. ...

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 ...

# DataOps EngineerBirmingham, Bristol, Newcastle Bank House, Manchester, LondonApply for this job* Permanent* Experienced Professionals* Architecture* ID 466851-en\_GB## **Who You'll Be Working With**As a DataOps Engineer at Capgemini, you will help teams build, run, and continuously improve modern data platforms so they are reliable, secure … help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise ways of working, improve data application reliability, and enable safe, repeatable releases.**Please Note ...

offering guidance on how one would implement a robust DevOps approach in a data project. You can comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics. Experience in the following things isn’t essential, but it’s highly desirable! Working ...

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 ...