22 of 22 ETL Jobs in the City of London

essential Strong programming skills in Python and SQL; knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP) Experience working in Agile and DevOps environments Knowledge of AI/ML applications in data workflows is desirable Familiarity with visualisation tools More ❯

DevOps, and GitHub. Data Modelling Apply hands-on expertise in enterprise data modelling using tools such as ERwin, ER/Studio, or PowerDesigner to ensure performance, scalability, and maintainability. ETL/ELT Frameworks Design robust data pipelines using tools like Cloud Composer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable More ❯

background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong communication skills with ability to translate between technical and non-technical stakeholders. Desirable More ❯

skills, Experience in risk management (Market, Credit, Regulatory). Familiarity with risk measures: VAR, CE/PE, PFE. Success in managing multi-terabyte data warehouses. Skilled in data warehousing, ETL/ELT, and reporting tools. Scripting skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and More ❯

Platform proficiency - comprehensive experience with Power BI Desktop and Service environments DAX mastery - advanced skills in creating complex calculations and measures Data architecture - proven experience in data modeling and ETL process design Database skills - thorough understanding of relational databases and SQL proficiency Integration capabilities - connecting diverse data sources to Power BI platforms Stakeholder engagement - strong communication skills for requirements gathering More ❯

Azure DevOps Consulting: Requirements gathering, stakeholder engagement, agile delivery Desirable Experience Power BI/Tableau Azure Functions (Python/C#) Streaming (Event Hubs, Stream Analytics) CI/CD, SDLC, ETL best practices Please only apply if you have full right to work in the UK. This is remote with occasional travel as required to client sites and falls outside of More ❯

Microsoft Azure Data Services (Fabric desirable). Knowledge of Data Lake, Power BI, SQL. Business Entity Mastering, Data Taxonomy and Data Dictionary. Knowledge of CI/CD Familiarity with ETL processes and best practices. Key Competencies Motivated to learn and grow in a dynamic environment. Strong organisational and technical skills with excellent attention to detail. Resilient, solution-focused, and able More ❯

seeking an Azure Data Engineer to help build and optimise data infrastructure on Microsoft Azure to support analytics, reporting, and secure data operations. Core Functions: * Develop scalable ELT/ETL pipelines using Azure tools (Data Factory, Synapse, Data Fabric) * Integrate data across systems (HR, CRM, legal, finance) * Enforce GDPR-compliant governance and security * Optimize performance and cost of data workflows More ❯

field or relevant industry industry experience· Have knowledge of programming and data manipulation skills such as SQL and Python, and version control (Github) is essential· Experience building multi-step ETL jobs/data pipelines and working with job scheduling systems is a plus· Demonstrated ability to thrive with minimal oversight and process. You connect the dots across business needs and More ❯

Requirements Proficiency in Python, with a focus on clean, maintainable code (bonus for experience with type hints, linters, and testing frameworks like pytest) Solid understanding of data engineering fundamentals: ETL/ELT, schema evolution, batch processing Experience or strong interest in Apache Spark for distributed data processing Familiarity with AWS data tools (e.g., S3, Glue, Lambda, EMR) Strong communication skills More ❯

is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills able to explain complex analysis to More ❯

is a plus). • Strong Python and SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to More ❯

commercial environment. Strong communication skills with the ability to engage stakeholders and translate technical work into business outcomes. Hands-on experience with cloud platforms (preferably AWS or Snowflake) and ETL/ELT orchestration tools (e.g. Airflow, dbt). Desirable Skills Familiarity with tools such as MongoDB , Glue , Athena , and React . Experience in API development and working with modern data More ❯

on secure, scalable architecture Skills required Expert PowerPlatform developer (PowerApps, PowerAutomate, PowerPages, Dataverse, PowerBI) Experience in full development life-cycle Full agile knowledge Azure and SQL database experience Demonstrable ETL and ELT knowledge Solution and services design with security controls embedded, specifically engineered with mitigation of security threats as a core feature. Utilise a modern standards approach Confirm specifications to More ❯

services, allowing them to share vital data and information quickly and securely, improving response times and overall public safety. Required Skills Data Stage, RedShift, QuickSight, S3 data migration/ETL both batch and real time data warehouse development DevSecOps Java SQL relational databases GitHub/lab experience Nice to have: Data quality xml AWS Data Specialty certification All profiles will More ❯

delivery, and software lifecycle. Experience with enterprise integration, governance, and security best practices. Technical expertise in web, service-based, and cloud architectures. Knowledge of databases (MS SQL, Oracle) and ETL tools (e.g., Informatica). Proven track record of delivering solutions with measurable business outcomes. Ability to coach, mentor, and influence technical teams. For a full consultation on this exciting new More ❯

DW/Analytics, including 4+ years in architecture. Strong banking expertise and proven pre-sales/RFP experience. Hands-on GCP experience (BigQuery, Dataflow, Dataproc, etc.), enterprise data modelling, ETL/ELT, and governance tools (Unity Catalog, Alation, Profisee). Excellent C-suite engagement and advisory skills. Why apply? Strategic, client-facing technical leadership role. Opportunity to drive cloud and More ❯

the project lifecycle. Essential experience: Proven background in technical architecture & large-scale data migration Hands-on expertise with ServiceNow, Oracle, Elastic & Data Lake solutions Strong knowledge of data modelling, ETL, and integration best practices This is a chance to take ownership of a high-impact programme at enterprise scale, within a collaborative and forward-thinking environment. More ❯

designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to … to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For More ❯

and impact. Key Responsibilities: Design, develop, and maintain robust, high-performance data pipelines and APIs. Implement modern data platform capabilities using SQL, dbt, and Azure technologies. Build and optimize ETL processes and ensure data quality standards are met. Define and document cloud solution architectures, technical designs, and testing. Collaborate with engineering, data science, and business teams to support strategic initiatives. … Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 7+ years experience working in the Azure/Data space. Strong experience with SQL, Python, and data warehousing/ETL best practices. Hands-on experience with Azure cloud services; certification preferred. Familiarity with Infrastructure as Code (IaC), CI/CD, and GitHub/Azure DevOps pipelines. Strong analytical, problem-solving More ❯

our enterprise data warehouse. You'll work closely with the Business Intelligence (BI) team to deliver reliable data for strategic reporting and dashboards. Key Responsibilities Design, develop, and support ETL processes using SAP Data Services . Build and maintain high-quality, well-documented data structures. Ensure reliability, data integrity, and performance across the warehouse. Collaborate with BI and IT teams … and continuous improvement. Skills & Experience Strong knowledge of SAP Data Services and data warehousing best practices. Experience designing data marts/warehouses using Kimball dimensional modelling . Proficiency in ETL design, SQL development (Microsoft SQL Server; Oracle a plus). Background working in multi-developer teams with code branching/merging and promotion across environments. Excellent problem-solving and communication More ❯