City of London, London, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into GoogleCloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in GoogleCloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using CloudComposer or other relevant tools. Data Lakes: Build data lakes using GoogleCloud services such as Big Query. Performance Optimization: Optimize data pipelines and … queries for improved performance and scalability in GoogleCloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on GoogleCloudMore ❯
Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into GoogleCloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in GoogleCloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using CloudComposer or other relevant tools. Data Lakes: Build data lakes using GoogleCloud services such as Big Query. Performance Optimization: Optimize data pipelines and … queries for improved performance and scalability in GoogleCloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on GoogleCloudMore ❯
london, south east england, united kingdom Hybrid / WFH Options
Tata Consultancy Services
Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into GoogleCloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in GoogleCloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using CloudComposer or other relevant tools. Data Lakes: Build data lakes using GoogleCloud services such as Big Query. Performance Optimization: Optimize data pipelines and … queries for improved performance and scalability in GoogleCloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on GoogleCloudMore ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Tata Consultancy Services
Design, develop, and maintain robust and scalable backend systems and APIs. Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load it into GoogleCloud environments. Data Transformation: Implement data transformation processes, including data cleansing, normalization, and aggregation, to ensure data quality and consistency. Data Modeling: Develop and maintain data models and schemas … to support efficient data storage and retrieval in GoogleCloud platforms. Data Integration: Integrate data from multiple sources, both on-premises and cloud-based, using CloudComposer or other relevant tools. Data Lakes: Build data lakes using GoogleCloud services such as Big Query. Performance Optimization: Optimize data pipelines and … queries for improved performance and scalability in GoogleCloud environments. Collaboration: Work with product managers to ensure superior product delivery to drive business value & transformation Documentation: Document data engineering processes, data flows, and system configurations for future reference and knowledge sharing. Your Profile Essential experience: Experience in data engineering, with a strong focus on GoogleCloudMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
Management Role Overview This strategic, client-facing role sits within a growing Data Management practice and focuses on leading cloud-based data architecture initiatives, particularly on GoogleCloud Platform (GCP). The Data Solutions Architect will collaborate with senior stakeholders to modernise data platforms, accelerate cloud transformation, and unlock business value through data and … commercially viable and technically sound solutions. Enterprise Solution Design Architect and oversee the delivery of scalable data platforms (data lakes, lakehouses, warehouses) using GCP technologies such as BigQuery, Cloud Storage, Databricks, and Snowflake. Cloud Data Strategy Lead cloud migration and modernisation strategies using GCP and tools like Terraform, CI/CD pipelines, Azure DevOps … 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 CloudComposer, Dataflow, Dataproc, Informatica, or IBM DataStage, supporting both batch and streaming ingestion. Data Governance & Quality Implement governance frameworks, metadata management, and data quality controls using platforms More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Client Server
Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with GoogleCloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data … BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data … at client site in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, CloudComposer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good More ❯
London, England, United Kingdom Hybrid / WFH Options
Client Server
Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with GoogleCloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data … BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data … at client site in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, CloudComposer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good More ❯
london, south east england, united kingdom Hybrid / WFH Options
Client Server
Senior Data Engineer (GCP BigQuery Python SQL) London/WFH to £85k Are you a tech savvy Data Engineer with GoogleCloud expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data … BigQuery, Dataflow and Dataproc, collaborating closely with clients to define business requirements, architect fit-for-purpose data solutions and support the migration of legacy on-premise systems to cloud-native architectures. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data … at client site in London). About you: You are an experienced Data Engineer within financial services environments You have expertise with GCP including BigQuery, Pub/Sub, CloudComposer and IAM You have strong Python, SQL and PySpark skills You have experience with real-time data streaming using Kafka or Spark You have a good More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
re looking for: 10+ years in technology/data delivery, including 3+ years in Delivery Lead/Technical Lead roles (GCP preferred). Proven experience leading large-scale cloud data platform deliveries. Strong stakeholder engagement, communication, and governance skills. Familiarity with GCP data services (BigQuery, Dataflow, CloudComposer, etc.) and modern delivery methodologies (Agile More ❯