51 to 75 of 1,436 ETL Jobs in England

analytics techniques including trend analysis, propensity and attribution models for conversion and churn rates, segmentation, journey analytics. Data Transformation: Knowledge of and proficiency in ETL/ELT Techniques and tools (e.g. Snowflake, DBT, Databricks, Informatica, Ab Initio etc.). Transformation and aggregation of raw data into modelled, re-usable dimensions More ❯

and data-driven decisions. Key Responsibilities: Develop, maintain, and optimize dynamic reports and dashboards using SSRS and Power BI to aid business decision making. Extract, transform, and load (ETL) data from diverse sources with T-SQL, SSIS, and Azure Data Factory Pipelines. Collaborate with business stakeholders to gather requirements and More ❯

enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation More ❯

enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation More ❯

enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation More ❯

enterprise integration tools. A developed understanding of TOGAF or equivalent enterprise architecture frameworks. Hands-on experience in data warehousing, data lakes, data modelling, and ETL processes. Excellent stakeholder engagement skills with the ability to influence and inspire across all levels. A proactive, forward-thinking mindset with a passion for innovation More ❯

Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of More ❯

Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and GCP data solutions. Good understanding of More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

migration projects to enhance system performance and integrity. Supporting the deployment of machine learning models using Databricks and PySpark. Managing and optimising cross-functional ETL processes across 80 databases daily. Working within a secure private cloud environment that includes Azure, SQL 2016, and SQL Server. About You The ideal candidate More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

migration projects to enhance system performance and integrity. Supporting the deployment of machine learning models using Databricks and PySpark. Managing and optimising cross-functional ETL processes across 80 databases daily. Working within a secure private cloud environment that includes Azure, SQL 2016, and SQL Server. About You The ideal candidate More ❯

such as Power BI, Tableau, QlikView etc. Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of data modeling, ETL frameworks, and big data technologies Experience working in financial services or regulated industries is a plus What’s on Offer A collaborative and inclusive work More ❯

This role is an opportunity to lead the build of bespoke data systems for our clients. Responsibilities: Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables. Lead technical discussions with clients and stakeholders to gather requirements and propose solutions. Help clients More ❯

migration projects to enhance system performance and integrity. Supporting the deployment of machine learning models using Databricks and PySpark. Managing and optimising cross-functional ETL processes across 80 databases daily. Working within a secure private cloud environment that includes Azure, SQL 2016, and SQL Server. About You The ideal candidate More ❯

and query optimization. Experience designing large-scale, distributed data systems in hybrid or cloud environments (e.g., Azure SQL, AWS RDS). Strong knowledge of ETL frameworks and integration tools (SSIS, Informatica, Azure Data Factory). Understanding of CI/CD pipelines and automation in database deployments. Excellent problem-solving, communication More ❯

and query optimization. Experience designing large-scale, distributed data systems in hybrid or cloud environments (e.g., Azure SQL, AWS RDS). Strong knowledge of ETL frameworks and integration tools (SSIS, Informatica, Azure Data Factory). Understanding of CI/CD pipelines and automation in database deployments. Excellent problem-solving, communication More ❯

and query optimization. Experience designing large-scale, distributed data systems in hybrid or cloud environments (e.g., Azure SQL, AWS RDS). Strong knowledge of ETL frameworks and integration tools (SSIS, Informatica, Azure Data Factory). Understanding of CI/CD pipelines and automation in database deployments. Excellent problem-solving, communication More ❯

based platforms, ideally Microsoft Azure. Familiarity with MS Dynamics, Salesforce, and associated integration points. Desirable: Experience in the energy/utilities sector. Exposure to ETL processes, data warehousing, and data model design. Knowledge of Python or other scripting languages. Familiarity with Lean or Agile project methodologies. More ❯