10 of 10 PySpark Jobs in the East of England

added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks ...

data modelling for Finance and Enterprise data products, working closely with architecture where required. Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake). Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established … influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology/Microsoft) Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous). Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous). Experience contributing ...

genomic data. You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

high-quality outcomes. Your Responsibilities: Lead the design and implementation of scalable, secure, and cost-efficient ETL/ELT pipelines using AWS Glue, Python (PySpark), and MWAA (Airflow). Define solution architectures, data models, orchestration patterns, and CI/CD for data workflows. Own the technical roadmap, decomposition …/data engineering, with 5+ years leading delivery of production solutions in an AWS data engineering environment. Advanced hands-on expertise with: Python (including PySpark & data engineering patterns) AWS Glue (Jobs, Crawlers, Glue Studio, Glue Catalog, PySpark, Job bookmarks) MWAA (Apache Airflow) (DAG design, scheduling, sensors, retries, XComs ...

maintain scalable ETL/ELT data pipelines within Microsoft Fabric Lakehouse environments Develop and optimise data ingestion/transformation workflows Develop Python and PySpark processes for data transformation and large-scale processing Support the development and optimisation of Power BI datasets, reports and dashboards Build and maintain scalable semantic … data engineering solutions Skills and Experience Hands-on expertise with Microsoft Fabric, Lakehouse architecture and Data Pipelines Experience developing Python or PySpark solutions for large-scale data processing Understanding of ETL/ELT design patterns, data modelling and modern data platform architecture Experience developing Power BI datasets, semantic models ...