1 to 25 of 57 Permanent DataOps Jobs in London

this role, your main responsibilities and deliverables will be to build and maintain ETL pipelines, create foundational data models in our data warehouse, and integrate new data sources using DataOps best practices, including documentation and testing. You will also support other data specialists in their work to make their queries and tables efficient and their use of data effective. We 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 7 Days Ago job requisition id REQ05851 This is your opportunity to join AXIS More ❯

LMAX Group is looking for a highly skilled and passionate Data Operations Engineer/Developer to join our team and help build and scale our data processing infrastructure. In this role, you'll develop high-performance data pipelines, real-time More ❯

as Python Good knowledge of the Azure cloud data platform and the potential to use its services to improve analytics Good knowledge of testing BI software, release cycles, devops (dataops) and how to successfully move a product from development to production Ability to understand complex technical/technology solutions and concepts, with the ability to solve complex problems. Effective IT More ❯

and data pipelines, design & optimize analytics & relational databases, and build analytics models using DBT and bespoke aggregation engines. You'll work closely with business stakeholders, other BI Developers and DataOps as well as System engineers to support both data and application integrations using bespoke tools written in Python/Java, as well as tools such as Meltano, Airflow, Mulesoft/ More ❯

advanced SQL and Python coding skills You have hands-on ETL/ELT experience You have a good knowledge of best practices in CI/CD, IaC (Terraform) and DataOps You have experience of working in start-ups/scaling, high growth environments You have excellent communication and stakeholder management skills What's in it for you: Salary to £140k More ❯

differentiation in the marketplace. •Data Governance: Experience in data governance, managing interactions across various data disciplines to ensure consistent, high-quality data delivery. •Agile Methodologies: Familiarity with Agile and DataOps practices. •Statistical Process Control: Capable of implementing and managing controls for data quality measurement and remediation. •SQL Proficiency: Strong skills in writing efficient SQL queries for large datasets in distributed More ❯

to motivat e cross functional squads to deliver complex technical initiatives. Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps/DevOps maturity. Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t. Modern data 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 ❯

you will be developing and deploying the next version of Contilio's cutting-edge 3D AI platform. Working in an agile manner, you will collaborate closely with the AI, dataops andproduct teams toimplement customer requirements and delight our globalenterprisecustomers. We offer competitive compensation andequity ownership, as well asthe opportunityto take on more ownershipas we grow our team and global footprint. More ❯

document all aspects of Netcompany focused solutions and so requires a broad technical understanding across Data & AI, Cloud, Solution Architecture, Data Engineering/Science/Governance and DevOps or DataOps, leveraging our capabilities and expertise in each of these areas to develop appropriate solutions. The role is required to be able to effectively communicate the solutions to both business stakeholders More ❯

the office (Victoria, London)/3 day remote Start - ASAP, need to have the ability to start by 8th August Spec - PURPOSE OF POST: Load Testing Plan and Execution DataOps practices (CI/CD for schema) Query tuning & execution plan analysis Governance, auditing, and compliance enforcement Working with developers to write scalable SQL Proactive anomaly detection using Query Store or More ❯

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets More ❯

Join to apply for the Data Architect (Trading) role at Keyrock Join to apply for the Data Architect (Trading) role at Keyrock About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the More ❯

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 700 of the world's leading enterprises, Astronomer lets More ❯

About the Role: Grade Level (for internal use): 11 About the Role: The Associate Director, Adobe Real-Time CDP Product Management is part of the Martech function within the Enterprise Marketing Strategy & Demand Generation Centre of Excellence, reporting to the More ❯

It has come to our notice that Fractal Analytics' name and logo are being misused by certain unscrupulous persons masquerading as Fractal's authorized representatives to approach job seekers to part with sensitive personal information and/or money in More ❯

You will be joining the Data Science and Engineering team to help get the most value out of our real-time data streams with a focus on elevating business decisions and ensuring genuine fans have the best opportunity to buy More ❯

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal More ❯

Jobtype: Full Time Location: UK - London Category: Information & Communication Technology Interested in shaping skylines across the globe? Multiplex is a premier construction company with a simple purpose: to construct a better future. As part of our team, you'll have 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 … g e/Experience Data Engineering Leadership: Ability to lead global technical teams in building scalable data platforms, data pipelines, and infrastructure that supports advanced analytics and machine learning. DataOps & DevOps Enablement: Skilled in implementing CI/CD pipelines, observability standards, and modern engineering workflows to enhance pipeline reliability, agility, and operational efficiency. Technical Standards & Frameworks: Experience in defining and More ❯

Principal Platform Engineer, Systems Development page is loaded Principal Platform Engineer, Systems Development Apply remote type Hybrid Remote locations London, England, United Kingdom time type Full time posted on Posted Yesterday job requisition id JR21517 CHEP helps move more goods More ❯

About Data at Holland & Barrett At Holland & Barrett (H&B), we want to empower everyone to live healthier, happier lives. With over 150 years of experience, we're the largest health & wellness retailer in Europe and a globally trusted brand. More ❯

pipelines, and practices are robust, scalable, and aligned with business needs. This role sits under the CIO, works alongside the Tech Lead, and closely partners with the ML Lead, DataOps/Governance, and the BI & Analytics function to deliver a unified, high-quality data ecosystem. Key Responsibilities Lead data engineering & platform initiatives across onshore & offshore teams (Data Engineers, DB Admin … API Integration). Enable ML & AI teams by ensuring data is well-modeled, accessible, and governed for predictive & automation initiatives. Uphold data quality, observability, security & compliance, partnering with DataOps & Quality roles to define standards. Partner with BI & Analytics to support self-service reporting & insights. Drive mentorship & technical best practices, fostering a collaborative, high-performance team. Bridge product, tech & operations, collaborating More ❯