5 of 5 Apache Spark Jobs in Yorkshire

transformation through to modelling and optimisation — working closely with analytics, reporting, and business stakeholders. Key Responsibilities: Design, build, and maintain data pipelines using Databricks (Spark/PySpark/SQL). Support the migration of on-premise data sources to a cloud-based Databricks platform. Develop and optimise data models … sprint planning, delivery, and issue tracking using Jira. Help establish and promote data engineering standards, governance, and documentation. Tech Stack & Tools: Core Technologies: Databricks Apache Spark (PySpark/Spark SQL) Delta Lake SQL Focus Areas Databricks platform development Cloud data migration Data modelling & analytics-ready datasets Modern ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop ...

Experience building and deploying cloud data platforms Infrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines) Strong coding experience in Python (Pandas), Apache Spark, and/or Apache Iceberg Expertise in SQL and advanced data manipulation and analysis Experience with data warehouse design and data ...

platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas: Extensive enterprise experience with Hadoop, Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data ...