26 to 50 of 284 DataOps Jobs in the UK

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 ...

maintain the Python CLI tooling that orchestrates client onboarding, config compilation, and pipeline execution.* Mentor the team of data engineers, driving best practices in DataOps, code review, testing, and documentation.* Proactively review existing processes to identify opportunities to automate manual work, optimise data delivery, and re-design infrastructure for greater ...

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 ...

improving code quality, scalability, and development productivity.Optimized ETL/ELT processes, reducing data latency and improving performance.Implemented CI/CD, automated testing, monitoring, and DataOps best practices.Established data quality, governance, security, and metadata management standards.Collaborated with cross-functional teams to deliver business-driven data and AI solutions.Mentored engineers ...

Experience with graph modelling, ontology standards or graph query languages such as RDF, OWL and SPARQL. Familiarity with feature store design and MLOps/DataOps pipeline integration. Experience with stream processing at scale using Apache Kafka or Apache Flink. Background in master data management or data mesh architecture. Consulting ...

# 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 ...

operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves ...

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 ...

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 ...

modules, pipeline templates, reference implementations and accelerators) with the documentation and worked examples delivery teams need to reuse them across clients. Architect for AI & DataOps : Introduce DataOps practices (automated unit/integration testing, data quality checks) and build the AI layer on top of it: vector search, RAG workflows ...

Lambda, RDS and S3 Experience using Claude Code as part of your day-to-day engineering workflow An understanding of CI/CD and DataOps practices Strong communication skills and the ability to collaborate with colleagues internationally Experience with LLMs, fine-tuning, RAG or statistics would be useful ...

Lambda, RDS and S3·Experience using Claude Code as part of your day-to-day engineering workflow·An understanding of CI/CD and DataOps practices·Strong communication skills and the ability to collaborate with colleagues internationallyExperience with LLMs, fine-tuning, RAG or statistics would be useful ...

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 ...