15 ETL Jobs in the Thames Valley

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP, AWS, and/or Azure services Cloud Database Management: BigQuery, Snowflake, Databricks, and Redshift Architect data models and schemas in BigQuery to more »

venture into the world of MLOps/AIOps. Key experience desired/what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. If you have experience across AWS and Azure, we can train you up on more »

in SQL with at least 2 years of experience using SQL for data manipulation and analysis • Solid understanding of data modelling data warehousing and ETL concepts You'll have an understanding of: • Collaborating with cross-functional teams to gather and document business requirements for data analysis projects • Data modelling and more »

a focus on FSS (Financial Services System) and associated functional, business, and data processes. Additionally, the Test Engineering Manager will oversee data migration and ETL (Extract, Transform, Load) activities, ensuring the successful delivery of source-to-target mapping and business sign-off. Key Responsibilities: Lead and manage the testing team … write complex queries and perform data analysis. Strong understanding of the data migration lifecycle, approaches, tools, and techniques. Proven experience in data migration and ETL, including source-to-target mapping and business sign-off. Technical test experience, with a track record of successful project delivery. Previous experience in people management more »

data cleansing activities. Being able to engage the business in cleansing activities. Strong background in SAP Information Steward and SAP Data Services or similar ETL/DQ tools. Good understanding of Data Models Good practical knowledge in MS SQL and SAP ECC Good understanding/practical use of ML solutions more »

a Data Analyst Must have experience with SQL for data manipulation and analysis Must have a solid understanding of data modelling, data warehousing, and ETL concepts Ideally experience working with Jira Ideally experience in the healthcare or related sectors If you want to impact and create change positively, you'll more »

is delivered on all data platforms. Success in this role looks like: Knowledge and experience using SQL server management studio. Experience in data warehousing, ETL processes, and database management. Experience using fact and dimension tables. Managing backlogs in Azure DevOps Strong leadership, mentorship and line management skills. Exceptional communication and more »

and PySpark/Python). Proficiency of designing and building API and API Consumption. Familiarity with data visualisations tools such as PowerBI. Proficiency in ETL/ELT tooling. Experience with deploying infrastructure as code and CI/CD pipelines. Ability to lead on the appraisal of architectures as they relate … Data Models, Data Architecture, Data Integration, DIAS, Microsoft Azure, Azure DB, Data Lakes, Azure Synapse, Power BI, Azure Data Factory, SQL, PySpark, Python, APIs, ETL, ELT, CI/CD, Data Pipelines, Data-as-a-Service. Please note that due to a high level of applications, we can only respond to more »

released to production. The candidate will work both collaboratively and alone to understand available data sources & models, define and construct datasets for analysis applying ETL/ELT principles, and build reporting/insights to communicate status and observations to consumers. As a team we work end-to-end with our … Data Science, Machine Learning and/or Statistical concepts Experience with statistical analysis in R or Python Experience with Azure Data Explorer Development of ETL & ELT pipelines Familiarity with NoSql/Non-relational databases Working in the Azure cloud environment Agile principles and Scrum methodology Understanding of GDPR/Privacy more »

architecture and database design within complex enterprise environments. Proficiency in data modelling techniques, database normalization, and denormalization strategies. Strong understanding of data integration patterns, ETL processes, data warehousing, and data lake architectures. Experience with a variety of database systems, such as relational databases (e.g., SQL Server, Oracle) and NoSQL databases … relationships. Assess and recommend appropriate data storage technologies, database management systems, and data processing frameworks to optimize performance and scalability. Design data integration and ETL processes to ensure seamless data flow across systems and support business intelligence and reporting requirements. Define and enforce data security and privacy measures, including access more »

data qualifications such as Togaf 9 are required for this role. You must have at least 5 to 10 years experience of data migration (ETL), Master Data Management, and Enterprise Data architecture design and deployment. With strong interpersonal skills to engage with key business stakeholders and secure Master Data Ownership more »

Togaf 9 or Prince 2 would be very useful for this role. You must have at least 3 years experience of systems, data migration (ETL), Master Data Management, and Enterprise Data architecture design and deployment. With strong interpersonal skills to engage with key business stakeholders and secure Master Data Ownership more »

Would you like to join a company that invests in its staff ? One that believe in a strong work life balance with a 35 hr working week as well as hybrid working? Work in a role where you will be more »

cleansing of legacy data. Being involved in at least 2 major Data migration projects. Should have strong Excel user skills along with data migration ETL methodology. Must have excellent interpersonal skills. English as primary language. " T-SQL " Excel VBA " Accounting ETL Methodology The Client is based in Milton Keynes various more »

conducting Spatial Analysis using specialist GIS software, including, FME, ESRI ArcGIS and/or QGIS. Experience of using Feature Manipulation Engine (FME), a geospatial extract, transformation and load software platform, is required to be a success in this role. You MUST be able to demonstrate good experience of FME to … be an equal opportunities employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. KEYWORDS Data Engineer, Spatial Analysis, ETL, GIS, FME, ESRI ArcGIS, QGIS, PostgreSQL, PostGIS, SQL, R, Python, Databases, Datasets, Schema Mapping, Algorithms, Data Models, Geospatial Data, Address Data. Please note that due more »