1 to 25 of 185 ETL Jobs in the Thames Valley

Event Hubs, and Functions. Strong background in data modeling, data warehousing, and real-time/batch data processing. Experience implementing data integration pipelines, ETL/ELT workflows, and data transformation frameworks on Azure. Knowledge of Azure security and identity management (RBAC, Key Vault, Managed Identities, networking, and encryption). Familiarity ...

and BAU activities. Governance of data quality across systems to ensure high standards are achieved and maintained, providing high levels of assurance. Technical Skills: ETL/ELT development using tools such as Azure Data Factory. Extensive experience with SQL Server and Data Warehousing. Strong understanding and experience working with Microsoft … define data architecture. Re-engineer manual data flows to enable scalability and reusability. Support the build of data streaming and batch processing systems. Write ETL (extract, transform, load) scripts and code to ensure optimal ETL performance. Develop reusable business intelligence reports and dashboards. Build accessible and governed data solutions ...

delivery using Azure DevOps for backlog management, sprint planning, and CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and ...

Contribute to organisational training and documentation to foster a strong data culture. What we're looking for: Deep knowledge of data engineering principles, including ETL/ELT, data modelling, and governance. Significant experience with cloud data infrastructure (ideally Azure/Fabric). Strong SQL and Python skills. Ability to leverage ...

years in Professional Services, client-facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. Agile delivery experience preferred. What Experience/Skills Do I Need ...

years in Professional Services, client-facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. Agile delivery experience preferred. What Experience/Skills Do I Need ...

users on business intelligence tools. Identify opportunities to improve data processes and implement solutions. Integrate various data sources to provide comprehensive insights. ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources using SQL and other tools Maintain documentation for all analytics tools …/FI & Power BI should have: Expert user of Power BI. SQL, DAX and Databases - Ability to query databases and structure financial data efficiently ETL Process - Knowledge of extract, Transform, Load (ETL) techniques for cleaning and consolidating data from different sources. Strong analytical and problem-solving skills. Experience ...

roles. Proven experience architecting solutions on at least two major cloud platforms (AWS, Azure, GCP). Expertise in data modeling (conceptual, logical, physical) and ETL/ELT pipeline design. Strong proficiency in SQL, Python, and cloud data orchestration tools. Deep understanding of data warehousing, streaming, and big data ecosystems (e.g. ...

have the opportunity to: Interpret and validate data requirements, analyse large-scale structured datasets, and ensure data accuracy and completeness. Design and implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). ...

Experience working within a Medallion Architecture with clear responsibility for engineering Bronze and Silver layers that support reliable downstream consumption. Advanced Python skills for ETL or ELT processes, API integration, data manipulation, and data quality enforcement. SQL proficiency with experience in schema design, performance tuning, and analytical data modelling. Proven ...

data systems. Responsibilities Design and implement data architectures using Snowflake to meet business requirements. Develop and manage Snowflake solutions, including data warehousing, ETL processes, and data modeling. Collaborate with stakeholders to understand business requirements and develop data strategies. Ensure data security, data governance, and compliance with relevant regulations. Required Skills … degree is preferred. Preferred Skills Data Strategy: Experience in developing and implementing data strategies. Data Warehousing: Knowledge of data warehousing principles and best practices. ETL: Experience with ETL (Extract, Transform, Load) processes and tools. SQL: Proficiency in SQL (Structured Query Language). Cloud Platforms: Experience with cloud platforms like ...

Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database ...

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

principles are followed throughout. In this role, you will be responsible for: Designing and delivering end‐to‐end data solutions Building and maintaining scalable ETL pipelines and cloud‐based data platforms using Microsoft Azure technologies. Leading workshops, capturing requirements and communicating confidently with both technical and non‐technical stakeholders. Creating ...

and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas ...

Desktop, Service, DAX). Expertise in Data Modelling and Schema creation. Strong experience with Databricks and Azure Data Lake design. Proficiency in SQL, ETL frameworks, and database management systems. Analytical mindset with proven problem-solving abilities. Excellent communication, coaching, and teamwork skills in an agile environment. What ...

translate business requirements into robust technical architectures, ensuring best practices in data governance, security, and performance. Key Responsibilities Design and optimise data pipelines and ETL processes using Azure Data Factory and Databricks. Develop and maintain data models, transformations, and integrations across multiple systems. Collaborate with client teams to deliver high ...

reliable, performant, and secure. Key Responsibilities Platform Development & Maintenance Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services. Build ETL/ELT processes to transform raw data into structured, analytics-ready formats. Optimise pipeline performance and ensure high availability of data services. Infrastructure & Architecture Architect ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...

best practises, including data security, data quality and data lineage. Other requirements include: Comfortable working in Microsoft Stack (Fabric, Azure, Power BI) Knowledge of ETL processes, semantic layers and tools like DBT Proficiency in Python for data manipulation and automation Ability to challenge assumptions and educate senior staff on data ...