14 of 14 Permanent ETL Jobs in the Thames Valley

Data Engineer who enjoys working close to the platform. The Role Designing, building and maintaining data pipelines in Databricks Developing and optimising ETL/ELT processes across ingestion, transformation and integration Building data solutions in SQL, Python and PySpark Monitoring and improving data quality, reliability and platform performance Supporting ...

raising standards across the data engineering communityWhat you'll bringEssentialDeep expertise in Databricks (Spark/PySpark, Delta Lake, Unity Catalog, Workflows)Strong experience building ETL/ELT pipelines, both batch and streamingAdvanced Python and SQL skillsHands-on experience with cloud platforms (Azure, AWS or GCP)Solid understanding of data modelling ...

Managed Instances, Oracle. Database schema design and implementation -Relational databases, T-SQL, Stored Procedures, Functions and Views, Indexes, SQL jobs and alerts. Strong ETL Development and Data Warehousing experience MS Fabric, SSIS, SSRS and Azure Data Factory Designing and maintaining CI & CD using tools like Azure DevOps Proven experience ...

system issues and user queries.o Data Warehouse Architecture: Contribute to the design and development of the data warehouse architecture, including new data marts, ETL processes, and database structures, to meet the growing needs of the Trust. Lead the implementation of these designs with a focus on scalability, performance, and security.Please … responding promptly to system issues and userqueries. Data Warehouse Architecture: Contribute to the design and development of the datawarehouse architecture, including new data marts, ETL processes, and databasestructures, to meet the growing needs of the Trust. Lead the implementation of thesedesigns with a focus on scalability, performance, and security. Data ...

scripts for importing and exporting data into enterprise applications, maintaining the integrity of the data across the applications Use enterprise report writing tools to extract data and share information for automated reporting in compliance with regulatory guidelines Always strive to meet corporate goals and look for opportunities to use technology … scalable and maintainable Design, implement, and continuously expand data acquisition by performing extraction, transformation, and loading activities Build, debug, monitor and troubleshoot databases and ETL processes to ensure optimal performance, reliability, and integrity Design, develop and maintain data stores (data warehouses, data marts and related information repositories) to support organisational ...

scripts for importing and exporting data into enterprise applications, maintaining the integrity of the data across the applications Use enterprise report writing tools to extract data and share information for automated reporting in compliance with regulatory guidelines Always strive to meet corporate goals and look for opportunities to use technology … scalable and maintainable Design, implement, and continuously expand data acquisition by performing extraction, transformation, and loading activities Build, debug, monitor and troubleshoot databases and ETL processes to ensure optimal performance, reliability, and integrity Design, develop and maintain data stores (data warehouses, data marts and related information repositories) to support organisational ...

integrations, pipelines and cloud solutions supporting BI, research and wider business analytics. What you'll be doing Build and maintain Python-based data pipelines, ETL/ELT and integrations Design scalable data solutions using Azure and cloud technologies Develop integrations using APIs and structured/semi-structured data Build automated … compliance requirements What we're looking for Strong commercial Python development experience, ideally within Data Engineering Strong SQL and experience building data pipelines/ETL/integrations Good experience with Microsoft Azure Experience working with APIs, JSON/XML and multiple data sources Understanding of batch, scheduled and/ ...

made to enable individuals with disabilities to perform the essential functions. Professional Experience Very desirable is experience with Agentic AI in a ELT/ETL capacity (Preferred) Exposure to Kafka or streaming platforms from an infrastructure or operational perspective (Preferred) Experience with observability tooling (logging, metrics, alerting) for cloud platforms … Preferred) Experience supporting Spark‐based platforms (e.g. EMR, Glue, Databricks) (Preferred) Proficient with DevOps tools and practices (Git, Jenkins, Docker, Kubernetes) as well as ETL frameworks (Apache Spark, Airflow, AWS IoT Analytics/Device Management/Events). (Preferred) Programming expertise in Python, Java, Scala, SQL, Spark, Unix shell scripting ...

lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. Collaboration & Innovation Work closely with colleagues from multiple disciplines ...

Responsibilities Design, develop and maintain robust, scalable data pipelines using Databricks, helping to build and shape the wider data platform. Build and optimise ETL processes that bring together data from a range of sources and make it ready for reporting, analytics and insight. Create high-quality SQL and Python transformations … ability to develop and support data engineering workloads. Advanced SQL skills, with confident use of joins, CTEs, window functions and data modelling techniques. Solid ETL and data integration experience, with an understanding of how to bring together data from multiple sources effectively. Strong development skills in SQL and Python Experience ...

while making a visible impact across the wider business. You Will Work With Designing, developing and maintaining data pipelines within Databricks. Building and optimising ETL/ELT processes for data ingestion and transformation. Supporting and enhancing a business-critical reporting and analytics platform. Developing SQL and Python/PySpark-based … Data Engineer. Strong commercial experience with Databricks. Advanced SQL skills and experience working with complex relational databases. Hands-on experience building and supporting ETL/ELT pipelines. Strong Python and/or PySpark development experience. Experience with SQL Server or similar database technologies. Excellent problem-solving skills and the ability ...

role in the continued growth of the organisation's data platform. Bring data together from a variety of sources, developing and refining ETL processes that provide trusted, usable data for reporting, analytics and decision-making. Develop high-performing SQL and Python transformations, ensuring solutions are robust, maintainable and capable … delivering reliable data solutions. Strong practical experience with Databricks and the ability to develop, support and troubleshoot data engineering workloads. A solid background in ETL and data integration Strong programming capability across SQL and Python Experience working with relational databases and modern data architectures, ideally with an understanding ...

helping to build a modern Microsoft data platform and support the development of reusable data services.Key responsibilities include: Designing and implementing end-to-end ETL/ELT pipelines from requirements gathering through to production deployment. Developing and maintaining scalable data models, transformations, and data products using modern Azure technologies. Optimising … understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing and developing ETL/ELT data pipelines. SQL development and data modelling. CI/CD processes and deployment best practices. THE BENEFITS: You will receive a salary ...

and delivering scalable cloud-based data integration and analytics solutions. Key Responsibilities Design, develop, and maintain Azure-based data integration solutions. Build and support ETL processes, data pipelines, and application interfaces. Develop cloud-native integrations using Azure services including ADF, Synapse, Logic Apps, and Function Apps. Support real-time, batch … and compliance standards are met. Essential Skills Strong experience with Azure services including ADF, Synapse, Logic Apps, and Function Apps. Proficiency in SQL, Python, ETL development, APIs, JSON, and XML. Experience with SQL Server, PostgreSQL, MySQL, and NoSQL databases such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. ...