76 to 100 of 760 ETL Jobs in London

process using industry best practices to help DSS maintain legal compliance. Basic Qualifications: 5+ years of experience working on mission critical data pipelines and ETL systems. 5+ years of hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software More ❯

lives and breathes technology and is eager to grow with us. As a Data Engineer, you will: Design, build, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses and storage systems. Integration of data from diverse sources, including databases, APIs, flat files … What We're Looking For: Essential: A minimum of 3 years' hands-on fresh experience in any industry Proficiency in data engineering technologies, including ETL tools, data integration platforms, and data warehousing solutions. Strong SQL and NoSQL database expertise. Knowledge of data modelling, database design, and data warehousing. Proficiency in 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 ❯

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 ❯

plus Familiarity with AWS services such as Lambda, S3, Redshift, and Glue; Databricks experience is advantageous Experience designing and implementing scalable data platforms and ETL/ELT pipelines Knowledge of data warehousing, data lake architectures, and orchestration tools like Step Functions and Airflow Experience with infrastructure as code (e.g., Terraform More ❯

an efficient, scalable data warehousing solution on AWS, utilizing appropriate NoSQL/SQL storage and database technologies for both structured and unstructured data. Automate ETL/ELT processes to streamline data integration from diverse sources, enhancing the platform's reliability and efficiency. Develop data models to support business intelligence, delivering More ❯

BI tools (e.g., Power BI, Tableau, Looker). Strong analytical and problem-solving skills, with a focus on cloud-based data solutions. Knowledge of ETL processes and cloud data integration (e.g., AWS Glue, Azure Data Factory). Excellent communication and teamwork abilities, especially in remote and distributed teams. More ❯

on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL and ETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯

on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL and ETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯

on role across data engineering, governance, and BI delivery, working with tools like Azure Synapse, Data Factory, Databricks, and Power BI. Strong SQL and ETL skills are key, and experience working with Microsoft Dynamics 365 data would be a bonus. Essential skills: Azure (Data Factory, Synapse, SQL) Power BI SQL More ❯

Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯

What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯

Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯

What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯

Databricks SQL) Knowledge of Kimball data modelling methodology Experience using scripting languages such as Python, PowerShell etc. Experience with Microsoft Azure. Strong knowledge of ETL/ELT tools and experience navigating data pipelines. Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration) Strong trade lifecycle experience If you are More ❯

What You'll Do: Design and build scalable data solutions using AWS services (Redshift, Glue, S3, Step Functions). Lead the development of robust ETL/ELT workflows with AWS Glue and Python. Manage and mentor Data Engineers and Analysts across multiple projects. Collaborate with DevOps to maintain CI/ More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Spark, SQL, and Python. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Understanding of modern data architectures (e.g., Lakehouse, ELT/ETL pipelines). Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform is a plus). Experience with Airflow or similar orchestration tools. More ❯

Strong hands-on experience with AWS Proficient in Python and/or Scala for data pipeline development Solid understanding of data warehousing concepts and ETL best practices Desirable Experience: Exposure to Power BI for data visualisation and dashboarding Experience within the energy trading sector, particularly the power market , is a More ❯

Strong hands-on experience with AWS Proficient in Python and/or Scala for data pipeline development Solid understanding of data warehousing concepts and ETL best practices Desirable Experience: Exposure to Power BI for data visualisation and dashboarding Experience within the energy trading sector, particularly the power market , is a More ❯

Strong hands-on experience with AWS Proficient in Python and/or Scala for data pipeline development Solid understanding of data warehousing concepts and ETL best practices Desirable Experience: Exposure to Power BI for data visualisation and dashboarding Experience within the energy trading sector, particularly the power market , is a More ❯

especially cloud migration initiatives. Hands-on experience with Python, PySpark, SQL, and Scala. Deep knowledge of modern data architecture, data modeling, and ELT/ETL practices. Strong grasp of data security, governance, and compliance in the cloud. If you are interested in this opportunity, please apply now with your updated More ❯