1 to 25 of 35 ETL Jobs in the City of London

of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable experience includes: AWS or More ❯

depth knowledge of cloud-native data services (e.g., Databricks, Snowflake, Microsoft Fabric, AWS Redshift). Strong understanding of data modelling (relational, dimensional, NoSQL) and ETL/ELT processes . Experience with data integration tools (e.g., Apache Kafka, Talend, Informatica) and APIs . Familiarity with big data technologies (e.g., Hadoop, Spark More ❯

for high-performance data retrieval/manipulation. Understanding of Azure SQL Database and Azure SQL Managed Instance Knowledge of Azure Data Factory (ADF) for ETL processes Experience with Azure Data Lake and Azure Synapse Analytics Understanding of Azure Active Directory (AAD) This role will fall Inside IR35 and will require More ❯

maintain scalable and reliable data pipelines. Build and optimize data architectures, data lakes, and data warehouses. Develop ETL/ELT processes to extract, transform, and load data from various sources. Work closely with Insurance Brokers, Insurance Technicians, and the wider business to support their data needs. Implement data quality checks … and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding More ❯

maintain scalable and reliable data pipelines. Build and optimize data architectures, data lakes, and data warehouses. Develop ETL/ELT processes to extract, transform, and load data from various sources. Work closely with Insurance Brokers, Insurance Technicians, and the wider business to support their data needs. Implement data quality checks … and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding More ❯

maintain scalable and reliable data pipelines. Build and optimize data architectures, data lakes, and data warehouses. Develop ETL/ELT processes to extract, transform, and load data from various sources. Work closely with Insurance Brokers, Insurance Technicians, and the wider business to support their data needs. Implement data quality checks … and experience working with relational and NoSQL databases (e.g., MongoDB). Experience with data workflow orchestration tools (e.g., Dagster). Hands-on experience with ETL/ELT frameworks and transformation tools (e.g., dbt). Proficiency in programming languages such as Python. Experience with cloud platforms such as Azure. Strong understanding More ❯

BI reports. Connect Power BI to various data sources, including MongoDB, SQL databases, Excel, and cloud services. Design and implement efficient data models and ETL processes using Power Query and DAX. Optimize Power BI performance by fine-tuning data models. Collaborate with data analysts and business stakeholders to gather and More ❯

a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯

a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯

a mid-market private equity or scale-up environment, with an understanding of agile execution Strong expertise in data management platforms (Databricks, Snowflake), Azure, ETL and data analytics tools and languages such as SQL, Python, and Power BI Previous experience leading the data strategy, analytics, and platform development in a More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience in data engineering, integration, and ETL/ELT projects 3+ years hands-on with Azure tools Strong command of SQL , stored procedures, and data modeling (Kimball or 3NF) Solid understanding of More ❯

and development of a new global data platform (PaaS) Ensure scalable storage solutions (data lakes, data warehouses) to handle structured and unstructured data. Implement ETL/ELT pipelines using Dagster, Airflow, or similar tools. Optimize performance and scalability for large data volumes. Govern data security, compliance, and access controls. Development More ❯

programming with Scala, Python, SQL Ideally experience with Delta Lake Databricks workflows, jobs, etc. Familiarity with Azure Data Lake: experience with data ingestion and ETL/ELT frameworks Data Governance experience - Metadata, Data Quality, Lineage, Data Access Models Good understanding of Data Modelling concepts, Data Products and Data Domains Unity More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards a data-first approach. They are More ❯

with cutting edge technology while maintaining exceptional work-life balance. Contact me @ (url removed) or on (phone number removed). Data Engineer, Snowflake, Cloud, ETL, Analytics, SQL, Python, AWS, Terraform, DevOps, end-to,end More ❯

Agile style boards, Building, deploying, CI/CD pipelines for web applications using Azure cloud technologies, Working with MS-SQL and other databases performing ETL, Building and hosting applications in Azure using PaaS and other components Integrating applications with API's Authenticating and authorising access to applications e.g. by using More ❯

general business stakeholders to gather requirements and ensure solutions are fit-for-purpose. This role would be well-suited to a seasoned SQL/ETL Developer who is looking for an opportunity to take real ownership of their work in a demanding and dynamic environment - making a lasting and valuable More ❯

. Comfortable using the Linux command line for file manipulation, automation, and system monitoring. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) and ETL pipeline management is highly desirable. Prior exposure to supporting systems in a production trading environment is a strong advantage. Why Apply? You'll join a More ❯

experience with ClickHouse in a production environment Proficiency in Linux/Unix and database performance optimisation Strong knowledge of query optimisation , data modelling , and ETL Experience with DevOps tools (Jenkins, Ansible) and CI/CD pipelines Solid understanding of data security , backup , and disaster recovery Familiarity with Prometheus , Grafana , and More ❯

/05/2025 Job Type : Permanent Job Responsibilities/Objectives Design and manage data warehouses using SQL, NoSQL, and cloud platforms. Develop ETL/ELT pipelines using Airflow and dbt. Collaborate with stakeholders to deliver impactful solutions. Ensure data quality, security, and governance. Required Skills/Experience The ideal More ❯

work effectively to ensure maximum value is delivered in each 'sprint.' Skills and Experience Specification: Essential: Extensive knowledge of data warehousing, including physical modeling, ETL, ELT, CDC, semantic layers, and reconciliation principles. Strong SQL knowledge. Proficient in Python, Terraform, Snowflake, and AWS. Experience in monitoring, automated testing, reporting design, and More ❯