5 of 5 Remote Apache Airflow Jobs in Slough

governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data governance, data sharing across ...

professional experience in Data Platform. Proficiency in SQL and programming languages like Python Working knowledge of ETL and ELT frameworks and orchestration. Tools like Airflow and dbt Experience working with cloud platforms e.g. Azure Knowledge of data lakes and data warehouses concepts and distributed systems like Kafka, Spark etc. ...

into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines ...

code review, source control, build, test, deploy, and operations Awesome If You: Are experienced in Rust/Java/Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam/Flink/Spark - especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects … familiar with Airflow or other workflow orchestration tools, and worked with Kubernetes Understand data lake systems and file formats like Parquet, Orc, Athena Have some relevant AWS or Kafka certifications Benefits: A vibrant, diverse company pushing ourselves and the technology to deliver beyond the cutting edge A team ...

company's requirements. Design and build data storage solutions to address different use cases. Be technology agnostic and favour open standards (e.g., Parquet, Apache Iceberg). Find the right balance between cost and performance of the proposed solutions. Create scalable ingestion and transformation workflows, covering aspects such as observability … Standards: Hands-on experience with a data lakehouse implementation (either vendor based or open source) which is based open standards such as Parquet and Apache Iceberg. Experience in building data models, partition strategies and performance optimization (e.g. data compaction). Data Transformation & Lineage: Experience in performing data transformation ...