126 to 150 of 441 ETL Jobs in London

in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of £65,000 plus benefits Hybrid flexibility 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 ❯

plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem-solving, and stakeholder engagement. In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based 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 ❯

BI Operations team, ideal for someone with strong AWS BI experience and an eye for process improvement and automation. ROLE AND RESPONSIBILITIES Oversee daily BI operations including data pipelines, ETL/ELT workflows, and reporting environments Ensure system stability, uptime, and SLA compliance through proactive monitoring Lead incident management, root cause analysis, and production deployments Implement automation and observability to More ❯

objectives and digital innovation goals. - Manage JIRA project tracking, maintain Confluence documentation, and oversee code design for efficient development and collaboration. - Lead technical design and implementation of data models, ETL processes, and visualisation tools (BigQuery, Airflow, SSIS, Tableau, SSRS). - Define and implement best practices in data modeling, including data warehouse and lakehouse integration (Medallion Architecture). Skills and Experience More ❯

Skills Minimum 5 years working in a cloud environment using data engineering tools on a variety of complex products. Python Semantic Models Azure Data Factory Azure Synapse SQL Server ETL/ELT Database Design Data Warehousing Datalake/Lakehouse For a full consultation on this exciting new opportunity, get in touch with Arc IT today More ❯

in a growing team. What you’ll bring: 3+ years’ experience in data/platform engineering Strong SQL + Python skills Hands-on with Azure Data Factory (or similar ETL tools) A proactive, collaborative mindset Nice to have: CI/CD, Power BI, Azure DevOps, or public sector data experience. Why join: ✨ Work on tech that makes a real difference More ❯

in a growing team. What you’ll bring: 3+ years’ experience in data/platform engineering Strong SQL + Python skills Hands-on with Azure Data Factory (or similar ETL tools) A proactive, collaborative mindset Nice to have: CI/CD, Power BI, Azure DevOps, or public sector data experience. Why join: ✨ Work on tech that makes a real difference 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 ❯

truth What You’ll Bring Proven experience delivering complex systems or data projects end-to-end Strong technical skills in Power BI, Microsoft Fabric, and advanced SQL Familiarity with ETL/ELT processes and data orchestration Python skills are a plus ERP and Business Central experience is a nice to have , not a must If this sounds like a role More ❯

truth What You’ll Bring Proven experience delivering complex systems or data projects end-to-end Strong technical skills in Power BI, Microsoft Fabric, and advanced SQL Familiarity with ETL/ELT processes and data orchestration Python skills are a plus ERP and Business Central experience is a nice to have , not a must If this sounds like a role More ❯

standards, and security protocols across the data estate. What We’re Looking For Proven leadership in data engineering and analytics , ideally within Azure and Databricks ecosystems . Expertise in ETL orchestration , Azure Data Factory , and medallion architecture . Strong experience with Power BI , DAX , and KPI-driven dashboarding. Ability to translate complex technical concepts into clear business value. Background in More ❯

standards, and security protocols across the data estate. What We’re Looking For Proven leadership in data engineering and analytics , ideally within Azure and Databricks ecosystems . Expertise in ETL orchestration , Azure Data Factory , and medallion architecture . Strong experience with Power BI , DAX , and KPI-driven dashboarding. Ability to translate complex technical concepts into clear business value. Background in More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills More ❯

GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL workflows. Excellent problem-solving, communication, and stakeholder engagement skills. Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field. Nice-to-Have Skills More ❯

emphasizing deep engineering and delivery over high-level governance or non-implementing architectural design in recent years. Core Data Skills: Comprehensive understanding of Data Warehousing methodologies, modern ELT/ETL patterns, Analytics Engineering principles, and advanced SQL for performance optimization. This is a unique opportunity to define the data strategy through execution for a Tier 1 institution and drive cultural More ❯

emphasizing deep engineering and delivery over high-level governance or non-implementing architectural design in recent years. Core Data Skills: Comprehensive understanding of Data Warehousing methodologies, modern ELT/ETL patterns, Analytics Engineering principles, and advanced SQL for performance optimization. This is a unique opportunity to define the data strategy through execution for a Tier 1 institution and drive cultural 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 ❯

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ, FBX, glTF), point clouds, and large-scale computer vision datasets-or the ability to quickly upskill in 3D data workflows. More ❯

data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of data privacy and security concepts. • Ways of Working: •Comfortable working in Agile/Scrum environments More ❯

data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of data privacy and security concepts. • Ways of Working: •Comfortable working in Agile/Scrum environments More ❯