1 to 25 of 469 DataOps Jobs in the UK

Senior Data Engineer - (Azure/Databricks) Axis Capital London, United Kingdom Apply now Posted 15 days ago Permanent Competitive Senior Data Engineer - (Azure/Databricks) Axis Capital London, United Kingdom Apply now This is your opportunity to join AXIS Capital More ❯

Senior Data Engineer - (Azure/Databricks) page is loaded Senior Data Engineer - (Azure/Databricks) Apply locations London - Scalpel time type Full time posted on Posted 15 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS More ❯

Social network you want to login/join with: col-narrow-left Client: Ecclesiastical Insurance Group Location: Gloucester, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 53a958569615 Job Views: 11 Posted: 17.06.2025 Expiry More ❯

Working hours: 35 hours per week, Monday to Friday Duration: Permanent Location: Gloucester Job Ref: 203895 About the role Benefact Group , are looking for a Lead Data & Analytics Engineer to join our Gloucester office. Within the role, you willlead the More ❯

Working hours: 35 hours per week, Monday to Friday Duration: Permanent Location: Gloucester Job Ref: 203895 About the role Benefact Group is seeking a Lead Data & Analytics Engineer to join our Gloucester office. The role involves leading the design, development More ❯

/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline development and data operations (DataOps) Experience with Python or other relevant coding Experience with Data Observability tools Exposure to Agile Project Methodology, i.e. Scrum ️ The Application Timeline A first stage video call with the internal More ❯

Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong More ❯

Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong More ❯

Azure, SQL Server. NoSQL databases is good to have. Hands-on experience with data pipeline development, ETL processes, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with DataOps practices and tools, including CI/CD for data pipelines. Experience in medallion data architecture and other similar data modelling approaches. Experience with data visualization tools (e.g., PowerBI). Strong More ❯

UK Head Office – Manchester Hybrid/PERMANENT/SALARY: COMPETITIVE Job Purpose The Data Lead is responsible for leading and growing MPM’s data capabilities. Managing the data team, overseeing the design, delivery, and governance of data infrastructure, pipelines, and More ❯

UK Head Office - Manchester Hybrid/PERMANENT/SALARY: COMPETITIVE Job Purpose The Data Lead is responsible for leading and growing MPM's data capabilities. Managing the data team, overseeing the design, delivery, and governance of data infrastructure, pipelines, and More ❯

teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency … such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Stron g More ❯

teams can adopt. Ensure consistency, quality, and reusability across solutions. Serve as a point of accountability for technical decisions and architectural direction, while empowering product teams to execute effectively. DataOps Enablement and Optimization: Drive the adoption of modern DataOps principles to streamline engineering workflows. Partner with platform teams to establish CI/CD pipelines, observability standards that improve operational efficiency … such as AWS, Azure, or Goo g le Cloud and cloud-based data services (e.g ., AWS Redshift, Azure Synapse Analytics, Goog le Bi g Query). Experience with DataOps practices and tools, includin g CI/CD for data pipelines. Excellent leadership, communication, and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Stron g More ❯

or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on Offer Competitive salary of More ❯

Excellent communication and stakeholder management skills. Desirable Experience: Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on Offer Competitive salary of More ❯

or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure, or AWS. Understanding of DevOps/DataOps practices, CI/CD pipelines, and monitoring tools. Academic background in Computer Science, Mathematics, or a related technical field. What’s on Offer Competitive salary of More ❯

development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to More ❯

development of AI/ML CI/CD pipelines and frameworks for supporting AI/ML and Data Science solutions on Azure Databricks. Define and implement best practices for DataOps, DevOps, ModelOps, and LLMOps to standardize and accelerate the AI/ML life cycle. Collaborate with Data Scientists and teams across Front Office Quant teams, Sales/Trading desks to More ❯

Familiarity with data governance policies and data compliance frameworks (GDPR, CCPA, etc.). Exposure to API Platforms like Apigee, Dell Boomi, Postman, and API-driven testing frameworks. Understanding of DataOps & TestOps concepts for continuous data quality testing and automation. Experience validating unstructured data formats, including XML, JSON, Parquet. Knowledge of cloud data platforms like Azure, Databricks for data processing and More ❯

like Snowflake , Databricks , and BigQuery Exploring cloud services such as AWS , Azure , or Google Cloud Platform (GCP) and their associated tools (e.g., Glue, Lambda, BigQuery, etc.) Being introduced to DataOps practices understanding how teams manage data infrastructure in agile, collaborative ways Learning how to work effectively in fast-paced, agile environments as part of multidisciplinary teams Building confidence in using More ❯

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! When you join EDF Trading you'll become part of a diverse international team of experts who challenge conventional ideas More ❯

globally with engineering teams. Responsibilities include: Providing technical leadership to data and DevOps engineers. Designing and evolving scalable data platforms and assets. Establishing engineering standards, patterns, and frameworks. Driving DataOps adoption to improve operational efficiency. Embedding governance, security, and data quality practices. Collaborating with leadership and stakeholders to align data priorities. Qualifications and Experience: Expertise in Commercial/Procurement Analytics … modeling, SQL, NoSQL, and data warehousing. Hands-on experience with data pipelines, ETL, and big data technologies. Proficiency in cloud platforms like AWS, Azure, or Google Cloud. Experience with DataOps practices and tools, including CI/CD. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving skills. Mars is an equal opportunity employer. All qualified applicants will receive More ❯

beneficial for this role: ◦ Knowledge of NoSQL databases ◦ Knowledge of Microsoft Azure cloud tools: Power BI, Fabric, Data Lake, Data Factory ◦ Knowledge of Python and Linux scripting ◦ Knowledge of DataOps principles, including CI/CD ◦ Familiarity with Docker, Kubernetes, and cloud services (Azure ideally) ◦ An interest in ML/AI, such as development and data structuring requirements Kallidus is a More ❯

and metadata management tools • Interest or experience in applying machine learning/AI pipelines or features within a data engineering context • Understanding of DevOps conceps as applied to data (DataOps) and infrastructure-as-code tools like Teraform or Cloudformation • Previous experience in highly regulated industries or large-scale, enterprise-grade environments All of our opportunities require that applicants are eligible More ❯

enhance capabilities. Document pipelines and the platform including architectures and user guides, helping to enforce data management standards. Participate in agile ceremonies and provide occasional client interaction. Engage in DataOps practices and improve data delivery performance. Our Tech Stack: GCP: GCS, BigQuery, GKE, Artifact Registry, Vertex AI, App Engine, Data Store, Secret Manager, Pub/Sub Open-Source Tools: Argo More ❯