1 to 25 of 117 DataOps Jobs in London

Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with: Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure as Code (Terraform, ARM, CloudFormation)About NTT DATANTT DATA is a $30 billion business and technology services leader, serving ...

Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps).Expertise in data architecture and modelling (conceptual, logical, and physical).Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service mesh).BenefitsCompetitive ...

Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise in data architecture and modelling (conceptual, logical, and physical). Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service ...

Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data architectures. Agile and DevOps delivery methodologies applied to data platforms (DataOps). Expertise in data architecture and modelling (conceptual, logical, and physical). Familiarity with modern integration technologies and patterns (e.g., API-driven, event streaming, service ...

Fivetran, Matillion, or similar tooling Programming in Python, Java, or Scala Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP) Exposure to DataOps, CI/CD, and infrastructure-as-code Benefits Hybrid/remote working environment for flexible work-life balance Competitive compensation package + performance bonus Referral bonus ...

systemsFamiliarity with distributed computing frameworks (e.g., Spark, Dask), cloud platforms (e.g., AWS, Azure, GCP), and analytics libraries (e.g., pandas, numpy, matplotlib)Exposure to DevOps, DataOps, and MLOps concepts and best practicesExperience with core technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro, Dask/RAPIDS, Docker, Kubernetes, and cloud services ...

Basic understanding or exposure to containerization technologies such as Docker and Kubernetes would be beneficialExposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps, will be advantageousWhile we advocate using the right tech for the right task, we often leverage: Python, PySpark, the PyData stack, SQL, Airflow ...

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 ...

research new technologies to enhance capabilities. Document pipelines and the platform including architectures and user guides, helping to enforce data management standards. Engage in DataOps practices and improve data delivery performance. Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared ...

focusL Own and evolve the enterprise data strategy and three-year roadmap Modernise and scale the data platform and engineering environment Build strong DataOps, observability, quality and governance disciplines Establish clear enterprise ownership, stewardship, lineage and data standards Build a mature data product management capability Accelerate self-service ...

streaming frameworks such as Flink, Kafka Streams and Kafka ConnectKnowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data CatalogExposure to DataOps practices and collaboration with Data Engineering teamsFamiliarity with GPU-accelerated analytics using Spark with GPUs or RAPIDSProgramming experience with Java, Scala, C#, Python or GoWhy ...

using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud platforms (ideally AWS) and cloud-based data science solutions. DataOps principles and practices. Structured and unstructured databases. Container technologies, including Docker and Kubernetes. Agile delivery methods. Software engineering best practice, including version control ...

platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills , able to articulate complex technical solutions, integrate cloud-native AI services and open frameworks (MLflow ...

technical workshops, architecture reviews and discovery sessions. Support Proof of Concepts and pre-sales engagements. 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 ...

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase Asset and Wealth Management (AWM) is responsible for accelerating AWM's data and analytics journey. The Strategic Data Provisioning (SDP) team plays a critical role in ...

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description The Role We are seeking ...

integration tools, including Kafka, Debezium and CDC pipelinesExperience with security and compliance in database environments, for example covering encryption, auditing and RBACFamiliarity with DataOps practices and collaboration with Data Engineering teamsWhy join us? Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 ...

such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices and collaboration with Data Engineering teams Benefits Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista ...

enterprise data platform. Lead the design, build and operation of a scalable, secure and resilient modern data platform. Drive modern engineering practices across DataOps, CI/CD, observability, service management, data quality and production support. Create AI-ready data foundations by ensuring data is governed, well modelled, permission-aware … leading modern enterprise data platforms, ideally including technologies such as Snowflake, orchestration tools, ELT, BI and analytics platforms. A strong understanding of platform engineering, DataOps, CI/CD, observability, reliability, resilience, data quality, security and production support. Practical knowledge of AI, machine learning and Generative AI workloads, including the data ...

that are commercially sound and technically viable. Data Quality & MLOps Governance: Establish rigorous standards for data quality, data lineage, automated testing, and MLOps/DataOps practices to guarantee model reliability and pipeline performance. Programme Governance & Financial Rigour P&L & Commercial Accountability: Take full financial responsibility for large-scale data programmes … with proven success leading complex, fixed-outcome programmes (£10M+ annual revenue) and managing distributed teams of 100+ across global delivery centers. Mastery of SDLC, DataOps, and MLOps practices to drive rapid iteration, continuous delivery of data products, and automated testing frameworks. Strong financial governance (P&L management, margin optimization, commercial ...

Are you passionate about building trusted customer data foundations that power meaningful marketing decisions? Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes? About the BusinessLexisNexis ...

Team Leader - Data Engineering & Integration - Commodities Data Location London Business Area Data Ref # 10052628 Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint ...

Salary: Competitive Plus Benefits Location: London Store Support Centre and Home, London, EC1M 6HA Contract type: Permanent Business area: Sainsbury's Tech Closing date: 02 September 2026 Requisition ID: 400078171 We’d all like amazing ...

Business Analyst (Senior Data Analyst) Location: LHR139, London EC2A 3NP Contract Duration: 24 months Start Date: ASAP Pay Rate: £255.28 - £283.68 Daily Working Hours: 40 hours per week Remote Work: 3 days onsite per week ...

DataOps Engineer – Finance 120,000 Plus Bonus Quant Capital is urgently looking for a Data Ops Analyst to join our high profile client. Our client is one of the largest Quant Investment managers globally, with around 20 billion under management. They are mainly quant based but have High frequency ...