1 to 25 of 56 ETL Jobs in Oxfordshire

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse More ❯

collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address the customer’s data visualization needs Ready to dive into a customer's subject More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

to offices and client sites Employment: Permanent, Full-time What You'll Actually Be Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and More ❯

business-related discipline 2+ years' experience with Power BI, DAX, Power Query 2+ years' experience with Power Automate or Logic Apps Strong data modelling, ETL/ELT, and SQL/database experience Familiarity with the software development lifecycle Excellent Excel and Microsoft Office skills Strong analytical, written, and interpersonal communication More ❯

meet current best practices and internal standards. Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects. ETL Development Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance. Essential Skills & Experience Strong … ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.). Experience with business requirement analysis and the development of reporting and analytics structures. Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable. Strong knowledge of data privacy regulations and practices. Exposure to analytics and reporting tools is considered More ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc.) ✔️ Excellent stakeholder management and ability to translate business needs More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

OAC). Should be aware about process of creating Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding More ❯

Solid understanding of investment data flows and financial instruments across asset classes. Hands-on proficiency with tools and languages such as SQL, Python, and ETL/data integration platforms. Strong communication, presentation, and stakeholder engagement capabilities. Advanced skills in MS Office Suite and the creation of professional deliverables. More ❯

engineering teams in a fast-paced environment ✔️ Strong expertise in SQL, Python, and cloud-based data platforms ( AWS/Azure/GCP ) ✔️ Experience with ETL processes, data lakes, and data warehouse architectures ✔️ Knowledge of big data technologies (Spark, Kafka, Snowflake, etc. More ❯

shape something from the ground up — this is for you. What you’ll do: Design and build a cloud-native data warehouse Develop scalable ETL/ELT pipelines and dimensional models (Kimball, Data Vault, etc.) Integrate multiple data sources (cloud & on-prem) Ensure high data quality, performance and reliability Collaborate More ❯

data sets, produce dashboards and drive actionable insights. SQL Development: Write and optimise complex Microsoft SQL Server queries for data extraction, transformation and loading (ETL). Data Governance: Implement master data management and governance policies to maintain data quality, compliance and lineage. Stakeholder Management: Communicate effectively with project managers and More ❯

of opportunities for ownership and innovation. Key Responsibilities Design and deploy cloud-based data platforms using Snowflake, DBT, and related tools Develop performant, scalable ETL/ELT pipelines across varied data sources Build and maintain dimensional models using Kimball, Data Vault, or Data Mesh methodologies Collaborate with cross-functional teams More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯

Services, AKS (Kubernetes), and related services. Data Ingestion & Management Ingest diverse data sources (exchange feeds, third-party APIs, FIX/WebSocket interfaces). Implement ETL processes and data models to drive downstream analytics and trading strategies. Uptime & Monitoring Implement health checks, alerting, and observability (metrics, logs, tracing) to maintain More ❯

needs and business strategies. Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments. Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management. SAP Tools: Lead SAP BW to SAP Datasphere More ❯

Knowledge (Snowflake, PostgreSQL, MSSQL, etc.). Scripting languages (Python, PowerShell). Data quality and resolving related processes Cloud Data Warehousing solutions and ELT/ETL solutions (e.g., Snowflake, DBT). Experience in working within an Agile environment. Experience with Automation, including Unit and Integration Testing. Knowledge of Cloud Concepts. For More ❯

and dynamic team. Responsibilities: Collaborate with various squads within the data team on project-based work. Develop and optimize data models, warehouse solutions, and ETL processes. Work with Scala, Spark, and Java to handle large-scale data processing. Contribute to manual Databricks-like data processing solutions. Requirements: Minimum of More ❯

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 More ❯