11 of 11 Permanent PySpark Jobs in Buckinghamshire

cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯

cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business More ❯

and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯

and the broader Azure ecosystem. Requirements Proven experience as a Data Engineer working with Microsoft Fabric or related Azure data services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft More ❯

relational databases Experience of Azure Fabric and its use in Data engineering and Data management. A high degree of proficiency with tools like Terraform, PySpark, and Databricks. Understanding of data migration concepts, including mapping, transformation, cleansing, and validation. Strong attention to detail and problem-solving ability. Must be comfortable More ❯

relational databases Experience of Azure Fabric and its use in Data engineering and Data management. A high degree of proficiency with tools like Terraform, PySpark, and Databricks. Understanding of data migration concepts, including mapping, transformation, cleansing, and validation. Strong attention to detail and problem-solving ability. Must be comfortable More ❯

relational databases Experience of Azure Fabric and its use in Data engineering and Data management. A high degree of proficiency with tools like Terraform, PySpark, and Databricks. Understanding of data migration concepts, including mapping, transformation, cleansing, and validation. Strong attention to detail and problem-solving ability. Must be comfortable More ❯

ready for deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code Nice to Have More ❯

ready for deployment. Clear communication and the capacity to articulate technical choices effectively are crucial. Must-Have Skills: 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL) 5+ years SQL Python Azure Excellent client-facing communication skills Experience deploying Databricks pipelines Experience provisioning Databricks as code Nice to Have More ❯

Future Talent Pool - GCP Data Engineer, London, hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools More ❯

Future Talent Pool - GCP Data Engineer, London, hybrid role - digital Google Cloud transformation programme Proficiency in programming languages such as Python, PySpark and Java develop ETL processes for Data ingestion & preparation SparkSQL CloudRun, DataFlow, CloudStorage GCP BigQuery Google Cloud Platform Data Studio Unix/Linux Platform Version control tools More ❯