11 of 11 Permanent PySpark Jobs in the North of England

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability ...

Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta ...

Experience Extensive experience with Azure services including Azure Databricks, Azure Data Lake Storage, and Azure Data Factory. Advanced proficiency in SQL, Python, and Spark (PySpark), with a strong focus on performance optimization and distributed processing. Proven experience in CI/CD practices using industry-standard tools (e.g., GitHub Actions ...

office each week. The Role Key responsibilities: Design, build and maintain data pipelines using Azure Data Factory and Azure Databricks Develop and optimise PySpark and SQL transformations Model data using dimensional modelling principles Support ingestion of data from various data sources and formats Collaborate with BI developers, analysts ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

deliver scalable, high-quality data solutions. Key Responsibilities: Develop, optimise, and maintain ETL/ELT pipelines within Databricks Build reliable data ingestion frameworks using PySpark and Spark SQL Design well-structured data models across medallion/lakehouse architecture Work with DevOps teams to automate deployments using CI/… Ensure compliance with best practices around data governance, security, and quality Requirements: Strong experience with Databricks (jobs, notebooks, workflows, Delta Live Tables) Proficiency in PySpark and Python Hands-on experience with Azure Data Lake, Azure Data Factory, or similar cloud services Understanding of Delta Lake, streaming pipelines, and lakehouse ...

expertise in data processing within a cloud-based data platform. Junior Data Engineer duties: Develop, test, and maintain scalable data pipelines using Python and PySpark within an Azure Databricks development environment Clean, aggregate, and transform complex datasets to meet business requirements. Assist with data quality checks and support data … Junior Data Engineer, you will have: Strong proficiency in Python, particularly for data manipulation and automation scripts; experience in libraries such as pandas, PySpark, numpy, pyodbc or associated would be beneficial Hands-on experience (or academic project experience) using PySpark. An understanding of ETL/ELT processes and/ ...

development and optimisation of scalable data and pipelines in a cloud-based environment, building and managing ETL processes using tools such as Azure, Databricks, PySpark and SQL. The role would suit a strong Data Engineer with 2+ years' commercial experience working with cloud-based data tech (Azure & AWS), Python … relevant languages for ETL), relational and non-relational databases. Key skills required: Proficiency in implementing ETL pipelines Azure/AWS cloud proficiency Python/PySpark Strong SQL skills for database management SSRS/SSIS Ability to develop, optimise & maintain complex SQL queries & stored procedures (T-SQL) The role ...