6 of 6 Permanent ETL Jobs in Cheltenham

complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design, privacy, compliance and governance ...

Looking For Commercial experience delivering Data Engineering solutions Strong Python and SQL skills, with experience of Java or Scala beneficial Experience building large-scale ETL/ELT and data processing pipelines Hands-on experience with Apache Spark and distributed data processing technologies Experience designing and operating cloud-native data platforms ...

areas. Current demand Cloud, DevOps & Platform Engineering - AWS/Azure, Terraform, Kubernetes, CI/CD, Linux, automation, DevSecOps and SRE Data Engineering - Python, SQL, ETL/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI ...

processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large ...

faster, better-informed decisions from diverse datasets. Working alongside data scientists, engineers and consultants, you’ll implement cloud-native architectures on AWS, develop scalable ETL/ELT pipelines, and apply DevSecOps and IaC practices to deliver robust, secure data #J-18808-Ljbffr ...

and mentorship to data engineers, architects, and delivery teams, promoting best practices across architecture, security, and cloud engineering. Define and implement robust data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real … experience with Apache Flink and real-time data processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed systems, and metadata management. Experience leading technical teams and mentoring architects, engineers, and other data professionals. Ability to engage, influence ...