1 to 25 of 175 Permanent DataOps Jobs in the UK

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 ...

dashboards and visualisations Implementing and supporting data pipelines to deploy scalable Machine Learning solutions that are sustainable in an enterprise environment Implementing and supporting DataOps pipelines Collaborating with and providing technical guidance to a team of data professionals to ensure high-quality delivery of data engineering and analytics projects Performing ...

data platform and supporting architecture. Develop and maintain robust ELT/ETL pipelines, ensuring high standards of reliability, performance, and security. Establish and embed DataOps and DataSecOps practices, including CI/CD, testing, version control, and automated quality controls. Deliver governed data models and reporting structures that enable trusted, self ...

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 ...

techniques (dimensional, relational, etc.) and cloud data warehousing principles. Expertise with cloud data warehouse solutions such as Databrick, Snowflake or Redshift. Proven experience in DataOps, CI/CD (MLOps is a plus) Exceptional written, verbal, and listening communication skills, with the ability to effectively explain complex technical concepts to both ...

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 ...

About the role: Gartner Analysts are industry thought leaders who create must-have research, market predictions and best practices for a broad range of world-leading organizations. A Senior Director serves as a leader within ...

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 ...

About the Role We are seeking a Lead Data Platform Engineer to own the resilience, scalability, and security of our core financial data ecosystem. This is a senior, hands‐on engineering role for a technical ...

## Lead Data Platform Engineer - DataOpsApplylocations: Nottingham, Engtime type: Full timeposted on: Posted Todayjob requisition id: R232017Nottingham Trent House (95002), United Kingdom, Nottingham, NottinghamshireLead Data Platform Engineer - DataOps### ****About the Role****We are seeking a ...

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 ...

Capital One is looking for a Lead Data Platform Engineer to own resilience, scalability and security of our core financial data ecosystem in a regulated cloud environment. This is a senior, hands-on role focused ...

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. Is this the next step 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 ...