126 to 150 of 430 ETL Jobs in the South East

a team what to do, run some whiteboard design sessions (realising you've used a permanent marker, you quickly leave the room) Qualifications Data Warehousing, Data Modelling, Database Design, ETL AWS Redshift, AWS Glue, S3, SQL Server, Power BI Cloud/DevOps AWS, Docker, Terraform Bitbucket, Bamboo, CI/CD deploy pipeline Agile, pair programming, code reviews Additional Information Were More ❯

125k + Bonus About the Role : Build and operate data pipelines and analytics platforms in the cloud. Work with engineers and analysts to design, implement, and maintain reliable, observable ETL/ELT workflows using Airflow and managed cloud services. Focus on Python-first implementations, high-quality SQL, Airflow orchestration, and query engines such as Athena, Trino, or ClickHouse. Required Skills More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

work closely with the Director of Analytics and Strategic Data Manager and be responsible for implementing data pipelines in Azure Data Factory and Azyre Databricks, supporting Darewhaoure implementation and ETL process. Location: Hybrid in London Salary: £55,000 to £65,000 + Benefits To be considered: Minimum 3 years of experience working as a Data Engineer within an Azure Environment. More ❯

Key Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data analysts and business stakeholders to understand data requirements. Optimize data workflows for performance and reliability. Ensure data quality, integrity, and security across systems. Work with large datasets using tools like Hadoop, Spark, and SAS. Integrate data from various sources including IBM Mainframe systems. Troubleshoot and More ❯

performance tuning and optimization of data processes. Skills required: Proven experience as a Data Architect working within Azure. Expertise in Azure Databricks and Azure Synapse. Strong understanding of Datamodelling, ETL processes, and data warehousing concepts. Proficiency in SQL, Python, and other relevant programming languages. Experience with data governance, data quality, and data security best practices. Excellent problem-solving skills and More ❯

practices and continuous learning within the team* Enforce data quality, governance, and security standards Technical Requirements:* Deep experience with Azure, SQL, Databricks, Azure Data Factory, and medallion architecture* Strong ETL design and hybrid cloud integration skills* Proficiency in Power BI and DAX for dashboard development* Solid understanding of KPI frameworks and dashboarding tools* Proven leadership in data analytics or BI More ❯

the business. What We're Looking For Proven experience leading BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to More ❯

the business. What We're Looking For Proven experience leading BI or analytics functions (ideally in tech, SaaS, or payments). Strong technical skills in SQL, data modelling, and ETL . Proficiency with BI tools such as Power BI, Tableau, or Looker. Excellent communication and stakeholder management skills. Strategic thinker with hands-on delivery experience. The client is looking to More ❯

Hands-on experience with the Azure Data Engineering stack (ADF, Databricks, Synapse, Data Lake) Strong skills in SQL and Python (PySpark experience is a bonus) Experience building and optimising ETL/ELT pipelines A background in Financial Services is a plus, but not essential A curious mindset and the ability to work effectively in a small, high-performing team What More ❯

you'll be doing Develop and optimise SQL scripts, stored procedures and data models in Azure Build and maintain interactive Power BI dashboards and reports Collaborate with Product and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI More ❯

you'll be doing Develop and optimise SQL scripts, stored procedures and data models in Azure Build and maintain interactive Power BI dashboards and reports Collaborate with Product and ETL teams to ensure data accuracy and alignment Support the build-out of a shared data warehouse and self-service reporting environment What you'll bring 3+ years' experience in BI More ❯

data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯

data capabilities Promote and uphold data standards and best practices within the Analytics and Data Engineering team Support and empower data-driven decision-making across the business Carry out ETL processes and validate data for accuracy and completeness Analyse data using SQL and scripting languages such as Python to provide actionable insights Share clear and meaningful insights to guide both More ❯

vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets More ❯

4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing More ❯

vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets More ❯

vision and roadmap that supports the evolving needs of capital markets firms. Skills Required Technical Expertise: Proficiency in data modelling, database design, SQL, Python, Kafka(optional), and experience with ETL tools and cloud data platforms. Data Management : Strong knowledge of data warehousing solutions. Capital Markets Knowledge: Understanding of the specific data requirements, challenges, and regulatory landscape within the capital markets More ❯

Agile (SCRUM) methodologies. Experience integrating automated test cases with CI/CD frameworks (Azure DevOps). Excellent understanding of risk management, defect management, and performance metrics. Desirable: experience with ETL testing, BrowserStack, and service-oriented protocols (XML). Personal Attributes Exceptional analytical and problem-solving skills. Highly organised, with strong attention to detail. Effective communicator who can influence and collaborate More ❯

ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication skills with the confidence to engage technical and More ❯

4HANA , SAP Datasphere, SAP MDG . Data Governance & Quality Tools: e.g. Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau). Awareness: Data governance, management practices, tools. Exposure across several key global groups. Competitive salary, + Bonus, medical and retirement benefits. Wellbeing More ❯

ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication skills with the confidence to engage technical and More ❯

ability to translate business needs into smart, scalable solutions. • Proven experience with Microsoft 365 and Power Platform (PowerApps, PowerAutomate, Dataverse) • Strong SQL skills, including data modeling, performance tuning, and ETL processes • Hands-on experience with SharePoint, Teams, and Exchange integration • Experience with Azure DevOps, API integration, and application lifecycle management • Excellent communication skills with the confidence to engage technical and More ❯

degree in Mathematics, Computer Science, Engineering, or a related discipline. Strong proficiency in SQL and Python (or another object-oriented programming language). Demonstrated experience in designing and managing ETL/ELT pipelines. Exceptional attention to detail, with a focus on data accuracy and process reliability. A proactive problem-solver with strong analytical and communication skills, capable of working both More ❯