1 to 25 of 65 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 ...

ideally in enterprise-scale environments Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake Hands-on experience with Spark (PySpark/SparkSQL) and distributed data processing Strong data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts Proficiency in SQL, version control ...

ideally in enterprise-scale environments Deep expertise in Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake Hands-on experience with Spark (PySpark/SparkSQL) and distributed data processing Strong data modelling skills (Dimensional, ODS, Data Vault) and data warehousing concepts Proficiency in SQL, version control ...

more more) SQL, NoSQL, Data Lakes, Data Warehouses ELT/ETL tools: Databricks, Azure Data Factory, SSIS, Talend, Informatica, Palantir Python, PySpark managing and motivating teams, agile methodology Data governance and analytics expertise Strong communication skills to bridge business and technical requirements Salary & Benefits ...

Volunteer 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 Live Tables ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

years of hands-on experience in enterprise data modelling using tools such as ERwin, ER/Studio, or Power Designer Proven experience with Databricks, PySpark, Python, SQL, and modern data platform architectures including data lakes and data warehouses Knowledge of batch and streaming ingestion, CI/CD tools (Azure ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

practices for data governance and security. Required Skills & Experience 5–10 years in data engineering roles, ideally within consultancy environments. Strong proficiency in: Databricks (PySpark) Azure Data Factory (ADF) SQL (complex queries and optimisation) Azure Data Services (Data Lake, Synapse, etc.) Excellent communication and stakeholder management skills. Nice ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...

Looking For: Proven hands-on experience in data engineering projects Good hands-on experience of designing, implementing, debugging ETL pipeline Expertise in Python, PySpark and SQL languages Expertise with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like ...