351 to 375 of 441 ETL Jobs in London

or equivalent experience Experience writing SQL queries and optimising query performance. Strong skills in Python Experience with AWS or GCP Demonstrated experience and responsibility with data, processes, and building ETL pipelines. Experience with cloud data warehouses such as Amazon Redshift, and Google BigQuery. Building visualizations using tools such as Looker studio or equivalent Experience in designing ETL/ELT solutions More ❯

datasets into well-structured, reliable systems. What you’ll be doing Designing, developing, and maintaining end-to-end data pipelines Building and optimising data models and warehouse solutions Performing ETL processes to ensure data quality and consistency Collaborating with teams across engineering, analytics, and product Supporting business intelligence and analytics efforts What we’re looking for Strong background in Data … Engineering and Data Modelling Solid experience with ETL processes and Data Warehousing Proficiency with SQL and at least one programming language (e.g. Python) Strong analytical and problem-solving skills Comfortable working in a hybrid setup Degree in Computer Science, IT, or a related field If you’re passionate about building high-quality data systems and want to work in a More ❯

datasets into well-structured, reliable systems. What you’ll be doing Designing, developing, and maintaining end-to-end data pipelines Building and optimising data models and warehouse solutions Performing ETL processes to ensure data quality and consistency Collaborating with teams across engineering, analytics, and product Supporting business intelligence and analytics efforts What we’re looking for Strong background in Data … Engineering and Data Modelling Solid experience with ETL processes and Data Warehousing Proficiency with SQL and at least one programming language (e.g. Python) Strong analytical and problem-solving skills Comfortable working in a hybrid setup Degree in Computer Science, IT, or a related field If you’re passionate about building high-quality data systems and want to work in a More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 10+ years' experience in data engineering, ETL development and big data solutions Experience within Insurance Technology or Finance Technology is essential Experience with Reinsurance is advantageous (please outline in your CV) Solid expertise with Azure Databricks, Data More ❯

We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you … opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data Develop data transformation logic using … solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 10+ years' experience in data engineering, ETL development and big data solutions Experience within Insurance Technology or Finance Technology is essential Experience with Reinsurance is advantageous (please outline in your CV) Solid expertise with Azure Databricks, Data 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 ❯

oversee the GMR BI department. The BI Director will be responsible for setting the data strategy, defining the data architecture, ensuring operational excellence, and driving innovation across data visualisation, ETL processes, analytics, automation, and content recommendation systems. Acting as a key partner to senior leadership, the BI Director will ensure data-driven decision-making across the organisation. Key Responsibilities/… Accountabilities Define and deliver the BI strategy in line with business objectives. Oversee and evolve the organisation’s data visualisation stack and the ETL processes that support it. Drive the development, implementation, and monitoring of new product lines: Super Spin, Free Rounds, Slingo World, new game features etc. Set priorities and manage the analysis request pipeline, balancing ad-hoc and … . Ability to translate complex data into clear, actionable insights for business leaders. Knowledge Advanced knowledge of statistics and data modelling. Data visualisation and storytelling best practice. Data pipelines, ETL processes, and data governance. Understanding of the gaming industry and its commercial levers desirable Experience Proven track record of leading BI or analytics teams at scale. Experience in the igaming More ❯

oversee the GMR BI department. The BI Director will be responsible for setting the data strategy, defining the data architecture, ensuring operational excellence, and driving innovation across data visualisation, ETL processes, analytics, automation, and content recommendation systems. Acting as a key partner to senior leadership, the BI Director will ensure data-driven decision-making across the organisation. Key Responsibilities/… Accountabilities Define and deliver the BI strategy in line with business objectives. Oversee and evolve the organisation’s data visualisation stack and the ETL processes that support it. Drive the development, implementation, and monitoring of new product lines: Super Spin, Free Rounds, Slingo World, new game features etc. Set priorities and manage the analysis request pipeline, balancing ad-hoc and … . Ability to translate complex data into clear, actionable insights for business leaders. Knowledge Advanced knowledge of statistics and data modelling. Data visualisation and storytelling best practice. Data pipelines, ETL processes, and data governance. Understanding of the gaming industry and its commercial levers desirable Experience Proven track record of leading BI or analytics teams at scale. Experience in the igaming More ❯

support a major government programme delivering secure, scalable data solutions. Key Responsibilities Design and implement data pipelines on AWS using services such as Glue, Lambda, S3, and Redshift. Develop ETL processes and optimise data workflows for performance and security. Collaborate with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential … Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. Excellent communication and problem-solving skills. Active SC clearance (mandatory). Desirable Experience with Terraform or CloudFormation. Exposure to CI 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 ❯

designs. A background as a Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company’s culture is freedom and openness which takes a lot of people by surprise. But the More ❯

designs. A background as a Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company’s culture is freedom and openness which takes a lot of people by surprise. But the More ❯

designs. A background as a Business Analyst is preferred. Experience in workforce management, scheduling, HR tech, optimisation domains, AI/ML productisation, LLM integration, MLOps, or enterprise integration standards (ETL, REST APIs, webhooks, event streaming) is a bonus. At the centre of the company's culture is freedom and openness which takes a lot of people by surprise. But the More ❯

Senior Data Engineers (Snowflake) Senior Data Engineer - Paying up to £90,000 London based (x2 days) Must haves: - Hands on Snowflake experience. - ETL Pipelining Experience. - Insurance (London Market OR General Insurance) experience. *** Please note - My client will only be looking at CVs with Insurance experience. Can those applying please make sure you have the Insurance expertise *** Apply now to find More ❯

Senior Data Engineers (Snowflake) Senior Data Engineer - Paying up to £90,000 London based (x2 days) Must haves: - Hands on Snowflake experience. - ETL Pipelining Experience. - Insurance (London Market OR General Insurance) experience. *** Please note - My client will only be looking at CVs with Insurance experience. Can those applying please make sure you have the Insurance expertise *** Apply now to find More ❯

processing components in Python . Work on large-scale data pipelines operating over huge datasets (hundreds of millions to billions of records). Write performant SQL for data transformations, ETL workflows, and analytical use cases. Contribute to discussions on architecture and design, focusing on scalability, cost, reliability, and performance. Improve observability, testing, and overall system robustness. Participate in incident reviews … and continuous improvement initiatives within the squad. Tech You’ll Work With Python (primary language) SQL Large-scale data workflows (ETL, transformation, analytics) Parquet and columnar data formats Cloud environments — experience with any major cloud provider is great AWS experience (Redshift, Lambda, ECS, S3) is nice to have , not required GCP/Azure backgrounds are equally welcome What You’ll More ❯

processing components in Python . Work on large-scale data pipelines operating over huge datasets (hundreds of millions to billions of records). Write performant SQL for data transformations, ETL workflows, and analytical use cases. Contribute to discussions on architecture and design, focusing on scalability, cost, reliability, and performance. Improve observability, testing, and overall system robustness. Participate in incident reviews … and continuous improvement initiatives within the squad. Tech You’ll Work With Python (primary language) SQL Large-scale data workflows (ETL, transformation, analytics) Parquet and columnar data formats Cloud environments — experience with any major cloud provider is great AWS experience (Redshift, Lambda, ECS, S3) is nice to have , not required GCP/Azure backgrounds are equally welcome What You’ll More ❯

enable smarter decision-making. Key Responsibilities Develop and maintain data warehouse solutions Build and optimize SQL Server database queries Create and enhance Power BI dashboards for business reporting Support ETL processes and ensure data accuracy Collaborate with actuaries and other stakeholders to deliver effective data tools Contribute to the Oracle-to-Microsoft migration project Essential Skills & Experience 3-5+ … years in a Data Warehouse or BI development role Minimum 2 years’ experience in the insurance sector Strong SQL Server skills Hands-on Power BI dashboard development Understanding of ETL processes Excellent communication and stakeholder engagement skills Desirable Skills Oracle experience (Oracle SQL, Oracle Apex) Exposure to Microsoft Fabric Power Platform (Power Apps, Power Automate) Python for data manipulation This More ❯

GDPR and CCPA. Technology & Infrastructure Evaluate and implement data governance tools such as catalogues and quality platforms. Lead the adoption of modern data platform technologies including data warehouses and ETL/ELT services. Training & Cultural Enablement Promote a data-driven culture through targeted training and awareness programmes. Support the creation of role-specific training for data owners and custodians to … warehouse and data lake architectures. Solid understanding of Master Data Management (MDM) principles. Integration & Engineering Skilled in developing and managing data pipelines and orchestration workflows. Hands-on experience with ETL/ELT tools and methodologies. Technology Stack Proficient in cloud-based data services, including Azure, Microsoft Fabric, and Power BI. Experience with Snowflake and relational databases such as SQL Server More ❯

GDPR and CCPA. Technology & Infrastructure Evaluate and implement data governance tools such as catalogues and quality platforms. Lead the adoption of modern data platform technologies including data warehouses and ETL/ELT services. Training & Cultural Enablement Promote a data-driven culture through targeted training and awareness programmes. Support the creation of role-specific training for data owners and custodians to … warehouse and data lake architectures. Solid understanding of Master Data Management (MDM) principles. Integration & Engineering Skilled in developing and managing data pipelines and orchestration workflows. Hands-on experience with ETL/ELT tools and methodologies. Technology Stack Proficient in cloud-based data services, including Azure, Microsoft Fabric, and Power BI. Experience with Snowflake and relational databases such as SQL Server More ❯

Salesforce (CRM), NetSuite (ERP), and Cascade (HR) into an on-prem SQL data warehouse, delivering automated monthly reporting and daily Power BI snapshots. The role also involves advising on ETL tooling, process automation, and producing full documentation for internal handover. Key Deliverables Design and build an on-prem Finance Data Warehouse (SQL) integrating Salesforce, NetSuite & Cascade. Develop and optimise ETL … tooling and data orchestration best practices. Produce full technical documentation and user handover materials. Skills & Experience Proven experience designing SQL-based data models and warehouses . Strong SQL development , ETL/ELT , and performance tuning skills. Data integration expertise with Salesforce , NetSuite , and HR systems (API/ETL). Advanced Power BI (Power Query M, DAX) Proven experience designing SQL … based data models and warehouses Strong SQL development , ETL/ELT , and performance tuning skills. Understanding of SaaS metrics (ARR, MRR, churn, NRR, CAC, revenue recognition). Excellent documentation, communication, and stakeholder engagement skills. Outcomes (3 Months) Operational Finance Data Cube integrating all core data sources. Automated Power BI dashboards for executive reporting. Documented, repeatable integration and refresh processes . More ❯

for implementation. o Act as a bridge between business teams and technical teams to ensure alignment on KPIs, metrics, and data logic. Data Exploration and Identification o Identify and extract the most relevant data from Snowflake to support business questions and performance tracking. o Conduct exploratory data analysis to uncover trends, anomalies, and opportunities for improvement in logistics operations. Data … efficient data models using Snowflake. Experience with SQL for querying, transforming, and preparing data for analysis and visualization. Understanding of data warehousing principles and dimensional modeling. • Data Integration and ETL: Knowledge of ETL processes, data extraction, and transformation, along with experience in SQL and data connectors. • Data Analysis and Visualization: Skills in visualizing data (Qlik Sense), selecting appropriate chart types 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 ❯