101 to 125 of 504 ETL Jobs in the UK

highly preferred. Strong SQL and data modelling skills. Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets. Knowledge of ETL tools ( Pentaho, Talend ) and data virtualisation ( Denodo ) is desirable. Exposure to DevOps tools and practices ( Git, Jenkins, Docker, Kubernetes ) is advantageous. Experience with Oracle ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating ...

data tools. Good SQL skills; some Python or R is a bonus. Familiarity with Swagger/OpenAPI or Postman . Understanding of data modelling, ETL concepts and system‐to‐system integrations. Comfortable working with both technical teams and business stakeholders. Clear communication and documentation skills. Nice to Have Experience with ...

practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing ...

and delivery of SAS data platforms, pipelines, and data processes. Develop, optimise, and maintain complex SQL-based data models and transformations. Build and manage ETL processes and large-scale data integration workflows. Implement strong data governance, security, and performance standards aligned to SC environments. Collaborate with stakeholders to align technical ...

and delivery of SAS data platforms, pipelines, and data processes. Develop, optimise, and maintain complex SQL-based data models and transformations. Build and manage ETL processes and large-scale data integration workflows. Implement strong data governance, security, and performance standards aligned to SC environments. Collaborate with stakeholders to align technical ...

transitioning from Data Analyst to Data Engineer . Proven expertise in SQL and building complex data models. Strong proficiency in Python for data processing, ETL, and workflow automation. Experience with cloud data platforms (Snowflake experience highly desirable). Exposure to or experience with Terraform or similar infrastructure-as-code tools ...

and delivery of SAS data platforms, pipelines, and data processes. Develop, optimise, and maintain complex SQL-based data models and transformations. Build and manage ETL processes and large-scale data integration workflows. Implement strong data governance, security, and performance standards aligned to SC environments. Collaborate with stakeholders to align technical ...

practices. Key Responsibilities Design and maintain scalable data architectures across Snowflake and Databricks Lead schema design, dimensional modelling, and SQL performance optimisation Build robust ETL/ELT pipelines Develop resilient API ingestion workflows Implement data quality frameworks and enforce data contracts Build CI/CD pipelines and automated testing ...

environments Hands-on expertise with Azure Data Factory, Synapse and Azure Data Lake Storage Solid programming experience with Python Good understanding of data modelling, ETL patterns and modern data platform concepts Ability to document and communicate technical concepts to non-technical stakeholders What's on Offer Salary ...

machine learning, generative AI, cognitive services, and responsible AI principles. Expertise in modern data architecture approaches such as lakehouse, distributed data models, ELT/ETL pipelines, master data management, and dimensional modelling. Experience integrating enterprise applications and low-code platforms into broader data strategies. Solid understanding of software delivery practices ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with ...

policy stakeholders to ensure data integrity, accuracy, and traceability across live operational systems. Key Responsibilities Service Modernisation & Data Engineering Design, build, and maintain robust ETL/ELT pipelines supporting Legacy system replacement Develop secure and scalable data extraction processes from live production systems Implement field-level mappings and transformation logic ...

strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven patterns Championing security-by-design in collaboration with security and assurance teams (IAM, KMS, encryption ...

based pricing, client analytics and internal operational metrics What You Need Strong academic background 4 years or more experience across full stack data including ETL, modelling, analytics and predictive systems Strong Python for ETLs and analysis Strong SQL and dbt experience Experience building from scratch in a startup ...

Responsibilities Data Engineering & Platform Development Design, develop, and maintain scalable data pipelines using Palantir Foundry (Code Repositories, Pipelines, Ontology, Workshop, etc.) Implement data transformations, ETL/ELT workflows, and orchestration within Foundry/FDP environments Develop modular, reusable data components following software engineering best practices Build and maintain data products ...

data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding ...

path to production Worked with one or more cloud platforms and services ( AWS, Azure, GCP ) Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages ...

data platforms and lakehouse architectures (e.g., Databricks, Snowflake) and cloud-native services. Strong experience with streaming and event-driven data processing (e.g., Kafka) and ETL/ELT patterns. Advanced proficiency in Python and SQL for data engineering, automation and analytics pipelines. Solid understanding of AI/ML concepts, MLOps and ...

compliance. Champion data quality by supporting SMEs and source‐system owners to improve and maintain consistent standards. Support end‐to‐end data migration activities (extract, transform, load) for People data and employee master information. Carry out sample‐based and full‐population reconciliations, maintain audit trails, and produce defect logs with ...

across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale structured and unstructured datasets from ...

across multiple industries. Access professional development, including technical courses, certifications, mentoring, and coaching. Tech stack: AWS cloud (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB) for ETL, data lake/warehouse design, and data movement. Programming: Java, Python, Scala, Spark, SQL. Experience integrating and processing large-scale structured and unstructured datasets from ...

and maintain data pipelines using Azure tools Develop data models and analytics solutions Work closely with clients to understand requirements and deliver solutions Optimise ETL/ELT processes for performance and reliability Troubleshoot and resolve data issues Contribute to best practices and mentor junior team members Skills & Experience Strong experience ...