1 to 25 of 153 DataOps Jobs in England

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 ...

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 ...

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 ...

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. 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 ...

Capital One is seeking a Lead Data Platform Engineer to own resilience, scalability, and security of our core data ecosystem in a regulated cloud environment. You will design, build, and run high‐throughput data platforms ...

Lead the development of enterprise data pipelines, data integration frameworks, and data products. Establish and enforce data engineering standards, patterns, and best practices. Implement DataOps and DevOps methodologies to enhance deployment efficiency and operational reliability. Collaborate with cross-functional teams to comprehend data requirements and deliver effective solutions. Ensure data … Python, Spark, and modern data processing frameworks. Experience building and managing ETL/ELT pipelines and streaming data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management ...

Ensure platforms are secure, resilient, scalable, maintainable, and compliant. Oversee cloud, on-premises, hybrid, and container-based infrastructure environments. Drive automation, Infrastructure as Code, DataOps, DevOps, and platform engineering best practices. Lead technical decisions regarding Azure services, Kubernetes, OpenShift, data platforms, analytics tools, and security technologies. Manage technical risks, dependencies … data solutions are aligned with business objectives and governance requirements. Support development of reporting, business intelligence, and advanced analytics solutions. Drive the adoption of DataOps principles and modern data architectures. Delivery & Planning Provide technical assurance across projects, programmes, and operational services. Balance technical debt, operational support, innovation, and business priorities. ...

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 ...

will design and deliver secure, scalable and reliable cloud-based data solutions , while establishing engineering standards and best practices across data integration, pipelines, DataOps, DevOps, data quality and governance. Working closely with architects, software engineers, analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that … development of data pipelines, integration frameworks and data products. Establish engineering standards, reusable patterns and best practices. Drive adoption of cloud-native technologies, DevOps, DataOps, CI/CD and Infrastructure as Code . Champion data quality, governance, lineage, security and compliance. Improve platform performance, scalability, reliability and cost efficiency. Provide ...

will design and deliver secure, scalable and reliable cloud-based data solutions , while establishing engineering standards and best practices across data integration, pipelines, DataOps, DevOps, data quality and governance. Working closely with architects, software engineers, analysts and business stakeholders, you will help shape our data strategy and deliver capabilities that … development of data pipelines, integration frameworks and data products. Establish engineering standards, reusable patterns and best practices. Drive adoption of cloud-native technologies, DevOps, DataOps, CI/CD and Infrastructure as Code . Champion data quality, governance, lineage, security and compliance. Improve platform performance, scalability, reliability and cost efficiency. Provide ...