76 to 100 of 112 ETL Jobs in Central London

the heart of a fast-paced trading environment, blending operational expertise with technical precision to ensure seamless trading execution and reliable market data delivery. Key Responsibilities Oversee and validate ETL pipelines to ensure accurate and timely pricing data using Python and SQL Bring trading systems online and provide Tier 1 and Tier 2 operational support across trading sessions Streamline, automate More ❯

the heart of a fast-paced trading environment, blending operational expertise with technical precision to ensure seamless trading execution and reliable market data delivery. Key Responsibilities Oversee and validate ETL pipelines to ensure accurate and timely pricing data using Python and SQL Bring trading systems online and provide Tier 1 and Tier 2 operational support across trading sessions Streamline, automate More ❯

Data/Commercial Analyst - large volumes of data & ETL London Hybrid (2-3 days per week in office) Salary £55,000 to £65,000 negotiable dependent on skills & experience Job Reference J13022 Founded over a decade ago, this organisation is an International Digital Solutions provider that offers a range of Hosting related services, including web hosting, domain registration, VPS, complex More ❯

Data/Commercial Analyst - large volumes of data & ETL London Hybrid (2-3 days per week in office) Salary £55,000 to £65,000 negotiable dependent on skills & experience Job Reference J13022 Founded over a decade ago, this organisation is an International Digital Solutions provider that offers a range of Hosting related services, including web hosting, domain registration, VPS, complex More ❯

takes pride in engineering fundamentals, thrives in a small team, and wants to see the commercial impact of their work. Key Responsibilities Develop, maintain, and enhance data pipelines and ETL processes using Python and SQL. Manage and integrate API connections and FTP data feeds into internal systems. Build and support dashboards and reports to provide visibility across trading and operations. … Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a More ❯

takes pride in engineering fundamentals, thrives in a small team, and wants to see the commercial impact of their work. Key Responsibilities Develop, maintain, and enhance data pipelines and ETL processes using Python and SQL. Manage and integrate API connections and FTP data feeds into internal systems. Build and support dashboards and reports to provide visibility across trading and operations. … Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a More ❯

databases like PostgreSQL, MySQL, or similar Cloud data ecosystem (AWS) : hands-on experience with core AWS data services. Key services include: S3 for data lake storage AWS Glue for ETL and data cataloging Amazon Redshift or Athena for data warehousing and analytics Lambda for event-driven data processing. ETL/ELT pipeline development : experience in designing, building, and maintaining robust More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

Key Responsibilities 🔹 Build & Develop – Design and maintain a robust Databricks Data Platform, ensuring performance, scalability, and availability. 🔹 Data Pipelines – Connect APIs, databases, and data streams to the platform, implementing ETL/ELT processes. 🔹 Data Integrity – Embed quality measures, monitoring, and alerting mechanisms. 🔹 CI/CD & Automation – Create deployment pipelines and automate workflows. 🔹 Collaboration – Work with stakeholders across Global IT, Data … hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies for data platforms. ✅ Previous London Market Insurance experience Why Join? 🚀 Greenfield Project – Work on More ❯

data usage policies. BI Expertise: Act as the organisation’s BI reporting expert, collaborating with IT to develop, procure, and optimise BI tools, including the extraction, transformation, and loading (ETL) of complex datasets in line with technical standards. Lifecycle Management: Oversee the complete lifecycle of Power BI reports and dashboards—from gathering requirements to deployment, maintenance, and archiving. Reports and … required. Requirements – Essential/Desirable Proven experience as a BI Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles More ❯

data usage policies. BI Expertise: Act as the organisation’s BI reporting expert, collaborating with IT to develop, procure, and optimise BI tools, including the extraction, transformation, and loading (ETL) of complex datasets in line with technical standards. Lifecycle Management: Oversee the complete lifecycle of Power BI reports and dashboards—from gathering requirements to deployment, maintenance, and archiving. Reports and … required. Requirements – Essential/Desirable Proven experience as a BI Lead overseeing development and rollout of BI tools (Essential) Strong SQL proficiency with experience in data modelling, integration, and ETL processes (Essential) Understanding of Microsoft Azure data storage and analytics (Essential) Extensive Power BI experience including reports, dashboards, DAX, and Power Query (Essential) Knowledge of data governance and quality principles More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

Fabric, helping to design and deliver the next generation of their data environment using Azure technologies. Key Responsibilities Lead and support the QlikView → Microsoft Fabric migration Build and maintain ETL processes and data pipelines Develop scalable solutions in Azure Data Factory and Microsoft Fabric Create insightful Power BI dashboards and visualisations Write and optimise SQL queries to support reporting and … analytics Collaborate across teams to enhance data quality and governance Key Requirements Proven Microsoft Fabric and Azure Data Factory experience Strong ETL, data pipeline, and SQL skills Expertise in Power BI and data visualisation Background as a Data Developer/Data Engineer Experience migrating from QlikView (essential) Azure certifications beneficial Must be able to drive to site if Essex is More ❯

Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data quality, integrity, and governance across all reporting layers Provide training and support to business users on BI tools … DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing concepts Ability to work independently and communicate effectively with both technical and non-technical stakeholders Familiarity with regulatory and compliance considerations in financial data is a More ❯

Build and manage a scalable data warehouse to support reporting and analytics Collaborate with stakeholders across investment, operations, and compliance teams to gather requirements and deliver actionable insights Develop ETL pipelines to integrate data from various internal and external sources Ensure data quality, integrity, and governance across all reporting layers Provide training and support to business users on BI tools … DAX, and data visualization best practices Advanced SQL skills and experience with relational databases Hands-on experience with Azure (e.g., Azure Data Factory, Azure SQL, Synapse) Solid understanding of ETL processes and data warehousing concepts Ability to work independently and communicate effectively with both technical and non-technical stakeholders Familiarity with regulatory and compliance considerations in financial data is a More ❯

s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple … re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge More ❯

s and London Market—is essential. What You’ll Do Build and maintain advanced Power BI dashboards and visual reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple … re Looking For Technical Skills Expertise in Power BI (DAX, Power Query) and building impactful dashboards Advanced SQL (T-SQL preferred) for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

turning business needs into actionable insights. Working closely with Qlik Developers , you ensure that dashboards are aligned with stakeholder goals and deliver accurate, impactful visualizations. You leverage Snowflake to extract, transform, and model relevant data, maintaining scalable structures that support KPIs and performance metrics across departments. Your work enables data-driven decisions , process optimization, and operational visibility. Key Responsibilities Business … with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard design Analytical and problem-solving mindset Good communication skills and ability More ❯

who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts … financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. More ❯

who want to accelerate their development in an environment that values intellectual curiosity, technical depth, and end-to-end ownership. The Role Design, build, and optimise data pipelines and ETL processes that feed critical research and trading systems. Engineer scalable, automated solutions for data ingestion, cleaning, and validation across multiple structured and unstructured sources. Collaborate with researchers, technologists, and analysts … financial services, consulting, or a data-heavy technical environment. Strong programming ability in Python (including libraries such as pandas and NumPy ) and proficiency with SQL . Confident working with ETL frameworks , data modelling principles, and modern data tools (Airflow, Kafka, Spark, AWS). Experience working with large, complex datasets from structured, high-quality environments — e.g. consulting, finance, or enterprise tech. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

Key Responsibilities: Requirement Gathering: Collaborate with business and data teams to understand reporting needs and translate them into technical specifications. Data Integration & Modeling: Design efficient data models and perform ETL from various sources to ensure data accuracy and performance. Dashboard Development: Build interactive, user-friendly dashboards and reports using Qlik Sense scripting and visualization tools. Performance Optimization: Enhance application performance … and apply best practices to improve solution design and performance. Required Skills: •Qlik Sense Expertise: Proficiency in Qlik Sense, including data modeling, scripting, and visualization techniques. •Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. •Scripting: Experience with Qlik’s scripting language for custom data loading, transformation, and calculations. More ❯

models (SSAS Tabular, Azure Analysis Services, or Power BI Semantic Models). Advanced SQL and dimensional data modelling skills (fact/dimension design, hierarchies, SCDs). Proven experience building ETL/ELT pipelines using tools such as SSIS , dbt , or Airflow . Solid understanding of database administration , tuning, and performance optimisation across MSSQL and PostgreSQL . Key Responsibilities: Design and … maintain data models that meet business requirements, ensuring scalability, consistency, and accuracy. Build and manage ETL/ELT pipelines to integrate data from S3 and various sources into the analytical layer. Administer and optimise MSSQL Server and PostgreSQL databases for performance and reliability. Collaborate with internal teams to improve data availability, reliability, and performance across systems. Design and maintain secure More ❯

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable for this Data Engineering Manager role you … the following: - Team leadership and guidance - Data engineering and aligning of data to business needs - Cloud technologies (Azure/AWS) - Understanding of Agile methodology - Data warehousing and Data Lakes - ETL/ELT - DevOps understanding - API integrations More ❯