201 to 225 of 483 ETL Jobs in England

and driving a data-driven culture Nice to have (not essential) Cloud exposure (Azure/Fabric/Power BI) and modern data platforms (warehouse, ETL/ELT) Experience with tooling such as data catalogues/metadata management/data quality tools If you’re looking for a role where ...

Cypher queries for performance and scalability • Integrate Neo4j Aura with cloud-native applications (REST, GraphQL, event-driven systems) • Manage data ingestion pipelines (Kafka, Spark, ETL tools, APIs) • Monitor, tune, and troubleshoot Neo4j Aura performance and availability • Implement security, access control, and data governance best practices • Collaborate with product, data, and ...

Cypher queries for performance and scalability • Integrate Neo4j Aura with cloud-native applications (REST, GraphQL, event-driven systems) • Manage data ingestion pipelines (Kafka, Spark, ETL tools, APIs) • Monitor, tune, and troubleshoot Neo4j Aura performance and availability • Implement security, access control, and data governance best practices • Collaborate with product, data, and ...

delivery-driven team building and supporting complex data platforms in Azure. This role is heavily weighted towards Python software engineering rather than traditional ETL-only work. The successful candidate will be someone who writes clean, maintainable, and well-tested Python code, and is comfortable treating data pipelines as production-grade ...

enhance and support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred ...

enhance and support products as well as design & deliver new innovations for growth, including Agentic development. Technology/Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition ...

and SLA delivery. Experience of modern platforms such as Microsoft Azure, M365, Power Platform, or equivalent enterprise ecosystems. Knowledge of integration technologies (APIs, middleware, ETL) and low-code or SaaS platforms. Understanding of ITIL, Agile and DevOps principles and their application in enterprise environments. Experience managing application budgets, contracts, and ...

Secure coding and API versioning Data & Integration SQL Server, Azure SQL, Cosmos DB ORM optimisation, caching (Redis, Azure Cache for Redis) Data migration and ETL integration (APIs, pipelines) Cloud & DevSecOps Azure DevOps (Repos, Pipelines, Boards, Artifacts, Test Plans) CI/CD automation, gated releases, and environment governance Infrastructure-as-Code ...

platform. You will work closely with data engineers, analysts, and architects to deliver high-quality, scalable data pipelines and models. Strong expertise in Snowflake, ETL/ELT, data modelling, and data warehousing is essential. Responsibilities Snowflake Development: Build and optimise Snowflake objects (databases, schemas, tables, views, tasks, streams, resource monitors … . ETL/ELT Pipelines: Develop and maintain robust data pipelines using tools like dbt, Airflow, Azure Data Factory, or similar. Data Modelling: Implement dimensional models (star/snowflake schemas), handle SCDs, and design efficient structures for analytics. Performance Tuning: Optimise queries, manage clustering, caching, and warehouse sizing for cost ...

Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive … code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity ...

data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate will have hands-on expertise across Azure data services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and … optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data ...

mentoring peers to elevate the entire team's expertise. Key aspects of this role are: Data Pipeline Development: Build and maintain robust Extract, Transform and Load data pipelines, ensuring seamless integration of large datasets into BGB's Data Estate Data Quality : Implement data quality audits and validation processes to maintain … well as big data technologies like Hadoop and Spark Skilled in programming languages , including Python, PySpark and Scala, with extensive experience developing robust ETL pipelines and ensuring scalable deployments Experienced in mentoring and developing less experienced Data Engineers , guiding them to grow their technical skills and capabilities Capable of delivering ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business, Sales Leadership ...

Data Analytics Sales Executive - Data Sales, Talend, Snowflake, Apache Spark, Kafka, Dataops, AWS, Azure, Data visualisation, SQL, ETL, Pre-Sales, Account Manager, SaaS Sales, Cloud Solutions, Digital Transformation, Business Development, Sales Consultant, CXO Engagement, Strategic Accounts, Deal Negotiation, Remote Working, UK-wide, Permanent Role, Sales Targets, New Business, Sales Leadership ...

analytics, AI/ML use cases, and operational efficiency. Must have proven experience in large-scale transformation projects, strong knowledge of cloud data platforms, ETL/ELT processes, data governance, and security compliance, along with expertise in program governance, Agile methodologies, and stakeholder management. ...

management, integration, or analytics for utilities or energy sectors. Strong knowledge of data fabric architectures, metadata management, and data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem ...

level of communication skills Ability to define and work to timelines Technical mindset Ability to translate business requirements into technical requirements SQL/Oracle ETL/Informatica Data Warehouse methodology Power BI Microsoft Office suite This role is hybrid, based in the Epsom area, and own transport is essential ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...