1 to 25 of 43 DataOps Jobs in England

Lead DataOps Engineer - SC, DataOps, Cloud Location: London (Hybrid)Type: PermanentSalary: £72,000 - £90,000 (depending on experience) + benefitsSecurity: Must be able to undergo security clearanceAbout the RoleAs a Lead DataOps Engineer, you'll be at the forefront of delivering automated, scalable data solutions that power modern analytics and applications. This role combines the best of data engineering and … confidentiality, and we will always discuss your application with you before presenting it to any potential employer.Please note we are on the client's supplier list for this position.KeywordsLead DataOps Engineer, DataOps, Data Pipeline Automation, Airflow, Prefect, Dagster, Docker, Kubernetes, EKS, AKS, CI/CD, Terraform, Ansible, Grafana, Prometheus, Spark, Kafka, PostgreSQL, Infrastructure as Code, Cloud Data Engineering, Hybrid Working More ❯

governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and DevOps for data (DataOps). Stay current with emerging technologies in cloud data platforms, Lakehouse architecture, and data engineering frameworks. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on More ❯

for operational insights. DevOps & Automation:CI/CD tools (Jenkins, GitHub Actions), infrastructure-as-code (Terraform, CloudFormation). Industry Standards:ISA-95, Unified Namespace (UNS), FAIR data principles, and DataOps methodologies. More ❯

SMEs. Confident leading the design, development and maintenance of data platforms and ETL solutions in a highly-regulated industry. Knowledge of all stages of the data lifecycle, and applying DataOps principles to manage pipeline testing, deployment, integration and monitoring. Data modelling expertise to develop low-level designs and implement models against business requirements, using design patterns such as Inmon, Kimball More ❯

and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. More ❯

and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. More ❯

and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. More ❯

Desirable • Knowledge of delivery techniques e.g. SCRUM, Agile & Waterfall • Data Management principles – tagging, access management, data privacy, handling of sensitive data (e.g. GDPR) and data lineage • Knowledge of the DataOps processes for the continuous deployment of UCDAs to production environments • Data Science machine learning (MLOps) model lifecycle • Worked with modern lakehouse and data management platforms – e.g.Databricks, Atlan, Monte Carlo What More ❯

Job summary The Health Informatics Development Team consists of an agile DevOps team primarily focused on the delivery of IT enabled change and a DataOps team concerned with the effective technical operation of the complex information management environment. This post is for a senior technical and development lead on the DevOps team, which currently consists of ten team members with More ❯

Devops Work Location: Reading, UK Role Type: Contracting Mode of Working: 100% office Key Skills/Knowledge/Experience Required: Proven experience as a DevOps Engineer, Cloud Engineer, or DataOps Engineer working in Azure-based data platforms, supporting complex, large-scale workloads within mature Agile delivery environments. Deep hands-on expertise with Azure Databricks, including clusters, job orchestration, Workflows, Repos More ❯

This Role Play a key role in shaping a modern Data Operations function as part of a major transformation. Stay hands-on while developing leadership skills in a true DataOps environment. Enjoy a balanced hybrid model - two days per week in your local office (Liverpool or Glasgow) plus fully expensed travel between sites when needed. Join a forward-thinking organisation More ❯

architecture that supports across the business Developing and executing a migration plan for legacy data into Snowflake, ensuring a smooth and efficient transition Working in a modern Dev/DataOps culture The tech stack will include: AWS, Fivetran, DBT, Snowflake, Power BI, Sifflet, Postgres SQL, SQL Server, Datavault On offer is a salary up £80,000 (depending on experience), plus More ❯

We have an exciting opportunity for a Senior DataOps Engineer to join the Group and take responsibility for inspiring and coaching our Data Engineering teams. The person in post will be working alongside domain-oriented, multi-disciplinary data product teams to design, develop, and test high-quality data solutions that serve as the backbone of our decision-making and digital … services. Driving automation and CI/CD practices across data pipelines and infrastructure, the Senior DataOps Engineer will build robust, scalable, and secure infrastructure that supports our data platform strategy. The role holder will lead and mentor data engineers, fostering a high-performance, collaborative environment. They will also play a central role in designing and developing a new cloud-based More ❯

End Date Wednesday 03 December 2025 Salary Range £70,929 - £78,810 We support flexible working – click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary . Job Description JOB TITLE More ❯

Devops Work Location: Reading, UK Role Type: Contracting Mode of Working: 100% office Key Skills/Knowledge/Experience Required: Proven experience as a DevOps Engineer, Cloud Engineer, or DataOps Engineer working in Azure-based data platforms, supporting complex, large-scale workloads within mature Agile delivery environments click apply for full job details More ❯

Role/Job title Data Scientist - Azure ML Ops & Databricks Work Location Wokingham, UK Role type - Permanent/Fixed Term/Contracting Contracting Mode of working Hybrid/office based Office based 5 Days in Office If Hybrid, how many More ❯

Olympiad/competitive programming backgrounds) Drive research and experimentation around personalization Requirements Expert in data pipelines and data architecture Has managed and scaled a team Strong with devops/dataops culture, complex data architectur Wants to create something massive through hard work More ❯

warehouse, data lake, and lakehouse implementations Architect real-time and batch data integration patterns across hybrid environments Technical Leadership: Lead technical workstreams on large transformation and migration programmes Define DataOps standards – CI/CD pipelines, version control, automated testing, deployment automation Provide hands-on guidance to data engineering teams on complex technical challenges Conduct architecture reviews and design authority for … Pipeline architecture, orchestration patterns, best practices Azure Databricks - Lakehouse architecture, Delta Lake, Unity Catalog, medallion layers SQL & Python - Strong technical foundation for hands-on guidance and code reviews DataOps & CI/CD - GitHub/Azure DevOps, automated deployments, version control, testing frameworks Architecture Experience: Enterprise architecture and solution design (6-12+ years experience) Data warehouse and data More ❯

SQL Database Administrator (DBA) Location: Leicester | Hybrid Working Available Type: Permanent Salary: £45 - 52k + Benefits Overview A forward-thinking organisation is looking for a skilled SQL Database Administrator to join its Data Services team. This is a hands-on More ❯

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we More ❯

observability frameworks. Salary: Up to £90,000 + bonus + package Level: Lead Engineer Location: London (good work from home options available) If you are interested in this Lead DataOps Engineer (Big Data) position and meet the above requirements please apply immediately. More ❯

Job Title: Senior SQL & SSIS Data Engineer (Data warehouse) Contract Length: 6 Months (possibility for perm) Location: London (5 days in 10 ) Working Pattern: Full Time Rate: Highly competitive rate available for suitable candidates Are you a data wizard ready More ❯

Job Title: Senior SQL & SSIS Data Engineer (Data warehouse) Contract Length: 6 Months (possibility for perm) Location: London (5 days in 10 ) Working Pattern: Full Time Rate: Highly competitive rate available for suitable candidates Are you a data wizard ready More ❯

Lead Data Operations BI Analyst Up to £83,000 + 10% bonus Watford Junction - Hybrid (ideally 3 days per week, 2 in Watford and 1 in London) Sponsorship available The Company This global technology-driven organisation is on a major More ❯

strategy. Translate business needs from manufacturing, supply chain, engineering, and quality into actionable product requirements. Lead products from concept prototype production, ensuring scalability, performance, and regulatory alignment. Establish agile, DataOps, and MLOps practices to accelerate deployment of analytics and AI solutions. Guide the integration of operational data across ecosystems (MES, LIMS, ERP, QMS, plant-level data, SCADA, IoT, cloud). … expertise in global pharma, biopharma, or large-scale manufacturing/supply chain. Strong technical fluency: Data engineering & pipelines Cloud platforms Data science & AI/ML product delivery MLOps/DataOps principles Skilled at influencing product direction across cross-functional, multi-region teams. A strategic thinker capable of shaping long-term transformation while executing fast. Comfortable in complex, regulated, GMP-heavy More ❯