426 to 450 of 811 ETL Jobs in London

warehousing solutions within an AWS environment Mentoring of team members through code reviews and pair programming Build and support new AWS native cloud data warehouse solutions Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Deliver data to presentation layers to power reporting and analytics Collaborate with More ❯

performance, reliability, and cost Collaborate with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean More ❯

performance, reliability, and cost Collaborate with engineers to integrate data best practices across teams Champion data quality, governance, and documentation Key Requirements: Strong experience with Python, SQL, and modern ETL tools (e.g., Airflow, dbt) Solid grasp of cloud platforms (AWS/GCP/Azure) and data warehouses (e.g., BigQuery, Snowflake) Familiarity with streaming technologies (Kafka, Kinesis, etc.) Passion for clean More ❯

practices. Required Technical Skills: Proven experience in data warehouse architecture and implementation. Expertise in designing and configuring Azure-based deployment pipelines. SQL, Python, PySpark Azure Data Lake+ Databricks Traditional ETL tool This is an excellant opportunity for a talented Senior Data Engineer to join a business who are looking to build a best in industry Azure data platform. ** Unfortunately, due More ❯

practices. Required Technical Skills: Proven experience in data warehouse architecture and implementation. Expertise in designing and configuring Azure-based deployment pipelines. SQL, Python, PySpark Azure Data Lake+ Databricks Traditional ETL tool This is an excellant opportunity for a talented Senior Data Engineer to join a business who are looking to build a best in industry Azure data platform. ** Unfortunately, due More ❯

system integration, and reporting automation. Strong proficiency in SQL, Excel, and BI tools. Extensive experience in designing and developing analytical scripts and dashboards. Expertise in managing data validation frameworks, ETL processes, and reporting solutions. Experience in a start-up environment, ideally financial sector Experience using Jira, Confluence and git Areti Group | 🌳🌳🌳 | We’re on a mission to put people and More ❯

system integration, and reporting automation. Strong proficiency in SQL, Excel, and BI tools. Extensive experience in designing and developing analytical scripts and dashboards. Expertise in managing data validation frameworks, ETL processes, and reporting solutions. Experience in a start-up environment, ideally financial sector Experience using Jira, Confluence and git Areti Group | 🌳🌳🌳 | We’re on a mission to put people and More ❯

Design and implement robust data management strategies, ensuring high-quality, secure, and accessible data across Aztec's ecosystem. Oversee the development of data pipelines, master data management (MDM), and ETL processes to streamline data flows between key platforms. Establish governance frameworks to improve data integrity, lineage, and compliance with industry standards. Lead initiatives to enhance reporting and analytics capabilities by … Skills, knowledge, expertise: Data Management & Governance: Experience with data modelling, data lakes, MDM, and regulatory compliance in financial services. Integration Knowledge: Proficiency in API management, microservices, middleware platforms, and ETL processes. Cloud & Infrastructure Strategy: Expertise in cloud architectures (Azure, AWS, or GCP), containerization (Docker/Kubernetes), and hybrid cloud models. Security & Compliance Awareness: Understanding of financial services security frameworks, data … adoption, and data management strategies. Familiarity with Aztec's key platforms (eFront, Yardi, Viewpoint, Fenergo) is a plus but not essential. Strong understanding of data management, integration patterns (e.g., ETL, API), and security frameworks Design experience or qualifications i.e. TOGAF, COBIT, Zachman, AWS/Azure Solutions Architect etc. an advantage ERP, Financial Services Systems and associated architectures experience along with More ❯

next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which … can get what they want, when they want it. BASIC QUALIFICATIONS - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases/data stores (object More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

years in a leadership role. Proven track record building and scaling data platforms using tools such as Spark, Kafka, Airflow, Snowflake, Databricks , or similar. Strong grasp of data architecture, ETL/ELT , data modeling, and the broader big data ecosystem. Excellent leadership, communication, and stakeholder management skills. Experience leading teams in fast-paced, agile environments. Bachelor’s or Master’s More ❯

years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process … data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during More ❯

years in a leadership role. Proven track record building and scaling data platforms using tools such as Spark, Kafka, Airflow, Snowflake, Databricks , or similar. Strong grasp of data architecture, ETL/ELT , data modeling, and the broader big data ecosystem. Excellent leadership, communication, and stakeholder management skills. Experience leading teams in fast-paced, agile environments. Bachelor’s or Master’s More ❯

quality best practices ✅ Excellent communication and stakeholder engagement skills ✅ Active SC Clearance Bonus Points For: Experience working in government, defence, or secure environments Familiarity with data migration tools and ETL processes Hands-on involvement in ERP implementations or upgrades Sound like you? Apply now or reach out directly for a confidential discussion. This is a high-profile programme that will More ❯

quality best practices ✅ Excellent communication and stakeholder engagement skills ✅ Active SC Clearance Bonus Points For: Experience working in government, defence, or secure environments Familiarity with data migration tools and ETL processes Hands-on involvement in ERP implementations or upgrades Sound like you? Apply now or reach out directly for a confidential discussion. This is a high-profile programme that will More ❯

quality best practices ✅ Excellent communication and stakeholder engagement skills ✅ Active SC Clearance Bonus Points For: Experience working in government, defence, or secure environments Familiarity with data migration tools and ETL processes Hands-on involvement in ERP implementations or upgrades Sound like you? Apply now or reach out directly for a confidential discussion. This is a high-profile programme that will More ❯

technical stakeholders What You’ll Bring: ✅ 10+ years in data engineering, with solid leadership experience ✅ Mastery of Azure cloud data services and Databricks ✅ Expertise in large-scale data platforms, ETL frameworks, and DevOps practices ✅ Passion for building team capability, coaching talent, and enforcing engineering standards ✅ Background in banking/finance? MUST HAVE 📍 Location : Full-time role requiring relocation to Manila More ❯

technical stakeholders What You’ll Bring: ✅ 10+ years in data engineering, with solid leadership experience ✅ Mastery of Azure cloud data services and Databricks ✅ Expertise in large-scale data platforms, ETL frameworks, and DevOps practices ✅ Passion for building team capability, coaching talent, and enforcing engineering standards ✅ Background in banking/finance? MUST HAVE 📍 Location : Full-time role requiring relocation to Manila More ❯

technical stakeholders What You’ll Bring: ✅ 10+ years in data engineering, with solid leadership experience ✅ Mastery of Azure cloud data services and Databricks ✅ Expertise in large-scale data platforms, ETL frameworks, and DevOps practices ✅ Passion for building team capability, coaching talent, and enforcing engineering standards ✅ Background in banking/finance? MUST HAVE Location : Full-time role requiring relocation to Manila More ❯

transformation programmes. Key Responsibilities Data Migration: Migrate data from existing Big Data platforms into Dynamics 365, Data Verse and other Azure data environments. Migrating from hand-rolled Code-based ETL processes to modern Azure Cloud Computing solutions Data Aggregation: Aggregate from smaller data sources and SaaS platforms into our Microsoft data environments Azure Development: Utilize Azure Data Factory, Azure Functions More ❯

7. Owns the data quality of important datasets and any new changes/enhancements BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS … technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience writing and optimizing SQL queries with large-scale, complex datasets - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace More ❯

productivity and accelerate feature delivery. Troubleshoot and resolve pipeline issues to maintain seamless integration and deployment workflows. Responsibility 3: Data Engineering and Management Design and implement data pipelines and ETL workflows to process and analyze large datasets. Manage data warehouses and streaming solutions to ensure efficient data storage and retrieval. Collaborate with cross-functional teams to understand data requirements and … focus on RDS, ECS, and IAM. Expertise in setting up and optimizing CI/CD pipelines using modern tools. Strong background in data engineering, including experience with data pipelines, ETL processes, data warehousing, and data streaming. Proficiency with Infrastructure as Code (IaC) tools such as Terraform, OpenTofu, or CloudFormation. Deep understanding of cloud security best practices and compliance standards like More ❯

deliver data-driven solutions that directly inform team business decisions. The core technical requirements demand proficiency in SQL and data manipulation, along with the ability to create and maintain ETL processes. They should be capable of building data structures using schema definition languages and demonstrate competence with analytics visualization tools such as Excel, or QuickSight. The role requires practical application … of descriptive statistics and basic inferential statistics in data analysis. BIE L4 builds and maintains various data artifacts including ETL processes, data models, and queries. They create reports that accurately answer business questions while ensuring their code is secure, stable, testable, and maintainable. A key aspect of their role involves automating manual processes where possible and thoroughly validating outputs against More ❯

best practices. What You'll Do: Design and implement end-to-end data architecture on AWS using tools such as Glue, Lake Formation, and Athena Develop scalable and secure ETL/ELT pipelines using Python, PySpark, and SQL Drive decisions on data modeling, lakehouse architecture, and integration strategies with Databricks and Snowflake Collaborate cross-functionally to embed data governance, quality More ❯

delivery of complex data-related projects. The ideal candidate will have a deep understanding of data platforms and tools, as well as experience designing and implementing data pipelines and ETL processes. WHAT YOU WILL BE DOING Lead the Data Engineering team in delivering high-quality data solutions that meet business needs Collaborate with cross-functional teams, including Data Science, Product … or relevant experience hands-on with data engineering Strong hands-on knowledge of data platforms and tools, including Databricks, Spark, and SQL Experience designing and implementing data pipelines and ETL processes Good knowledge of ML ops principles and best practices to deploy, monitor and maintain machine learning models in production Familiarity with Git CI/CD and MLflow for managing More ❯