12 of 12 ETL Development Jobs in London

recruiting on behalf of an international financial institution operating in the UK, who are seeking a Senior ODI ETL & OAS/OBIEE BI Banking Data Developer to join their team on a 2-year fixed-term contract. London based. Role The Senior ODI ETL & OAS/OBIEE … Banking Data Developer will play a key role in the design, development, and ongoing management of data warehousing solutions, advanced analytics, and data integration processes across core banking and financial systems. Key responsibilities include: Data Warehouse Management Design, implement, and manage data warehouse schemas and data marts to store ...

Support governance and lineage documentation for risk data flows. Required Skills & Experience Strong experience in Teradata and Informatica PowerCenter for data integration and ETL development. Strong experience in writing and understanding the complex SQL queries and data warehousing concepts. Knowledge of BCBS239 principles and regulatory risk data aggregation requirements. … Good if you have experience with risk modelling tools (SAS, Python) and ETL frameworks. Familiarity with data governance, lineage, and metadata management. Excellent problem-solving and communication skills. ...

solutions and the production of specifications, Designing and implementing business intelligence & modern data analytics platform technical solutions, Data architecture design and implementation Data modelling, ETL, data integration and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and … data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety of industry sectors an advantage, Comprehensive understanding of data ...

solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent communication and problem-solving skills ...

solutions Requirements: Hands-on experience with Azure Data Factory, Databricks, SQL, Data Lake, Power BI Strong skills in T-SQL and DAX Experience in ETL development, data modelling, and data governance Familiarity with CI/CD pipelines and Azure DevOps Excellent communication and problem-solving skills ...

data solutions covering acquisition, engineering, modelling, analysis, and visualisation. Client workshops and communication at both technical and business levels. Design and implementation of robust ETL/ELT solutions using the Microsoft/Azure ecosystem (Fabric/Databricks). Development of data lakehouse architectures using a medallion design approach. … relationships with teams and clients. Practical experience in data engineering or data warehousing with Azure/Microsoft or SQL Server technologies. Skills in developing ETL/ELT pipelines using Azure Synapse, Data Factory, Databricks, or Fabric, with SQL and Python. Strong understanding of data lake and lakehouse architectures. Experience ...

data solutions covering acquisition, engineering, modelling, analysis, and visualisation. Client workshops and communication at both technical and business levels. Design and implementation of robust ETL/ELT solutions using the Microsoft/Azure ecosystem (Fabric/Databricks). Development of data lakehouse architectures using a medallion design approach. … relationships with teams and clients. Practical experience in data engineering or data warehousing with Azure/Microsoft or SQL Server technologies. Skills in developing ETL/ELT pipelines using Azure Synapse, Data Factory, Databricks, or Fabric, with SQL and Python. Strong understanding of data lake and lakehouse architectures. Experience ...

solutions on the Microsoft Azure platform. You’ll play a key role in architecting and implementing robust data integration solutions, as well as building ETL pipelines to support data ingestion, transformation, and loading. The Role:As an Azure data engineer, you’ll collaborate with cross-functional teams … complex data concepts into clear insights for non-technical stakeholders. Key Responsibilities: Architect, design, and implement scalable Azure-based data solutions. Develop and maintain ETL processes for data ingestion, transformation, and loading. Ensure data governance, integrity, and quality throughout the data lifecycle. Implement robust data security, compliance, and privacy ...

third parties. Analyse both large and complex reporting requirements. Collaborate effectively with Product Owners, Developers, Designers, DevOps Engineers, and the wider business. Hands-on development of MI & BI reports for the various business units. Work with four other Data Engineers/Reporting Developers, and the Data and Reporting Manager. … ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python scripts, e.g. for ETL. Excellent data modelling skills. Experience developing ETL & ELT processes from multiple data sources & types. Experience in dashboard design and development. Experience working in a collaborative Agile environment. Mentoring skills ...

third parties. Analyse both large and complex reporting requirements. Collaborate effectively with Product Owners, Developers, Designers, DevOps Engineers, and the wider business. Hands-on development of MI & BI reports for the various business units. Work with four other Data Engineers/Reporting Developers, and the Data and Reporting Manager. … ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python scripts, e.g. for ETL. Excellent data modelling skills. Experience developing ETL & ELT processes from multiple data sources & types. Experience in dashboard design and development. Experience working in a collaborative Agile environment. Mentoring skills ...

Expertise in Pentaho Data Integration for ETL processes. Strong understanding of data warehousing concepts, data modelling, and schema design. Experience with other ETL tools (Informatica, Talend, SSIS) is a plus. Advanced SQL for querying and data manipulation. Familiarity with Java, Python, or VBA for scripting and automation. Knowledge … RESTful APIs and various database systems. Skills in data profiling, data analysis, and ensuring data quality. Experience 612 years in Data Integration and ETL development. Minimum 35 years of hands-on Pentaho experience. Leading complex ETL projects and working with cross-functional teams. Exposure to Banking/Financial ...

focused on building and optimising data infrastructure that powers quantitative research, trading strategies, and risk management. Key Responsibilities Develop and maintain scalable Python-based ETL pipelines for ingesting and transforming market data from multiple sources. Design and manage cloud-based data lake solutions (AWS, Databricks) for large volumes … tailored data solutions for modeling and strategy development. Contribute to the design and implementation of the firm's security master database. Analyse datasets to extract actionable insights for trading and risk management. Document system architecture, data flows, and technical processes for transparency and reproducibility. Requirements Strong proficiency in Python (pandas ...