176 to 200 of 430 ETL Jobs in the South East

developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and external sources, using a wide range of applications, to target … external stakeholders across the organisation to develop fit-for-purpose, analytically correct datasets and will be constantly looking at architectural improvements whilst ensuring the reliability, accuracy, and performance of ETL processes. This role is ideal for someone with strong experience in Azure cloud architecture, SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to … quality and accuracy. Lead the addition of new data sources to the Data Lake from 3rd party sources. Assisting with understanding internal customer requirements, technical design, and estimation. Lead ETL, common data structures and business intelligence architectures. Operate in a support capacity to the business, troubleshooting issues with data pipelines, errors, and maintaining production data. Development of Data models from More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

to save time and improve efficiency Requirements: • 2+ years’ experience working with Power BI (Desktop & Service) • Strong skills in DAX, Power Query, and SQL • Experience in data modelling and ETL processes • Able to translate technical detail into clear insights • Detail-focused and able to manage multiple priorities • Finance/business background is a plus • Azure, Power Automate, or Python knowledge More ❯

to save time and improve efficiency Requirements: • 2+ years’ experience working with Power BI (Desktop & Service) • Strong skills in DAX, Power Query, and SQL • Experience in data modelling and ETL processes • Able to translate technical detail into clear insights • Detail-focused and able to manage multiple priorities • Finance/business background is a plus • Azure, Power Automate, or Python knowledge More ❯

to save time and improve efficiency Requirements: • 2+ years’ experience working with Power BI (Desktop & Service) • Strong skills in DAX, Power Query, and SQL • Experience in data modelling and ETL processes • Able to translate technical detail into clear insights • Detail-focused and able to manage multiple priorities • Finance/business background is a plus • Azure, Power Automate, or Python knowledge More ❯

various data modelling techniques and tools. Deep understanding of different data storage solutions (e.g., relational, NoSQL, data lakes) and their appropriate use cases. Strong knowledge of data integration patterns, ETL/ELT processes, and data pipeline orchestration. Experience with AWS data platforms and their respective data services. Solid understanding of data governance principles, including data quality, metadata management, and access More ❯

Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

Kafka/Pulsar/Kinesis Strong SQL & relational DBs (Postgres/MySQL) Coding experience in Java/Scala Cloud (AWS preferred) + Infrastructure-as-Code familiarity Solid understanding of ETL/ELT and data modeling Nice to have: Iceberg/Delta/Hudi, Airflow/Dagster/Prefect, Python/TypeScript, data governance. More ❯

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

for growth and the chance to collaborate across the wider technology teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. More ❯

predictive modeling, AI/ML, clustering, segmentation, and statistical analysis . Requirements: Strong SQL skills. Experience with BI tools such as Looker, Tableau, or equivalent. Knowledge of data warehousing, ETL systems , or modern equivalents like DBT. Proven ability to communicate insights to stakeholders and drive action. Strong problem-solving skills and ability to explain complex concepts simply. Adaptable, quick to More ❯

successful in this role, you will have: Proven experience in data engineering using Azure, Databricks, and SQL. Strong leadership and mentoring skills within data or BI teams. Expertise in ETL orchestration and data architecture in an Azure cloud environment. Excellent communication and stakeholder engagement skills. Some of the package/role details include: Salary up to £95,000 Discretionary annual More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

Cloud flows, RPA) Dataverse (Advanced schema design, entity relationships, security roles) Microsoft 365: Integration with SharePoint, Teams, Exchange SQL: Complex queries and stored procedures Performance tuning and query optimisation ETL processes, data migration, and database design (desirable) Additional Skills: API integration Azure DevOps Application Lifecycle Management Workflow design (e.g., Visio) UX/UI principles .NET (beneficial but not essential) Soft More ❯

field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI or Tableau In-depth experience with Adobe Analytics or Google Analytics Expert at designing, running and interpreting AB tests. More ❯

Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯

Ability to partner with less technical business users to understand, document, and optimize data flows between systems. Data Pipeline Design and Implementation: Experienced in designing and implementing data pipelines (ETL/ELT/streaming) for robust data ingestion, transformation, and distribution, ensuring access to reliable data for analysis and decision-making. Relational Databases: Deep understanding of relational database technologies such More ❯

the Amazon Web Services (AWS) cloud platform. Skilled in scalable, reliable, and efficient data solutions, often using AWS services like S3, Redshift, EMR, Glue, and Kinesis. This involves designing ETL processes, ensuring data security, and collaborating with other teams for data analysis and business requirements Role Overview: Job Title: Data AWS Engineer Location: Northampton (hybrid: 2-3 days in office … Creating and implementing data pipelines to move data between different systems and applications on AWS. Data Warehouse Management: Designing, building, and maintaining data warehouses using AWS services like Redshift. ETL Process Development: Developing and maintaining Extract, Transform, Load (ETL) processes to move and transform data. Data Governance and Security: Implementing data governance and security policies for data storage and processing. … Programming Languages: Proficiency in programming languages like Python or Java, used for designing and building data pipelines. SQL: Knowledge of SQL for querying and manipulating data in relational databases. ETL Processes: Experience with ETL tools and techniques. Cloud Computing: Familiarity with cloud computing concepts and principles. Data Architecture: Understanding of data architecture principles and best practices. Data Modeling: Understanding of More ❯

Bus, Event Grid, and API Management. Define and enforce integration architecture standards, patterns, and best practices across the enterprise. Develop and maintain a comprehensive enterprise integration architecture, including SOA, ETL, and event-driven capabilities. Prototype innovative integration solutions and document detailed specifications. Stakeholder Collaboration Work closely with business stakeholders, developers, and IT teams to gather and understand complex business requirements. More ❯

Bus, Event Grid, and API Management. Define and enforce integration architecture standards, patterns, and best practices across the enterprise. Develop and maintain a comprehensive enterprise integration architecture, including SOA, ETL, and event-driven capabilities. Prototype innovative integration solutions and document detailed specifications. Stakeholder Collaboration Work closely with business stakeholders, developers, and IT teams to gather and understand complex business requirements. More ❯

re Looking For Strong experience in data engineering and architecture roles. Deep knowledge of SQL, Snowflake (or similar DWHs), and Python . Proven track record of building robust, automated ETL/ELT pipelines . Familiarity with distributed systems and handling large-scale data (millions of rows/sec) . Experience with data hygiene best practices : data models, versioning, reproducibility. Hands More ❯

re Looking For Strong experience in data engineering and architecture roles. Deep knowledge of SQL, Snowflake (or similar DWHs), and Python . Proven track record of building robust, automated ETL/ELT pipelines . Familiarity with distributed systems and handling large-scale data (millions of rows/sec) . Experience with data hygiene best practices : data models, versioning, reproducibility. Hands More ❯