11 of 11 Remote DataOps Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯