21 of 21 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 ...

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 ...

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 ...

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 ...

services, data modeling, ETL/ELT development, and collaborative engineering practices. Key Responsibilities * Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL). * Build and optimize ETL/ELT workflows that ingest data from various on-prem and cloud-based sources. * Work with Azure services … standards and best practices. Required Skills and Experience * Proven experience as a Data Engineer working with Azure cloud services. * Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration. * Strong SQL and data modeling skills (e.g., dimensional modeling, data vault). * Experience with Azure Data ...

data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data ...

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 click apply for full job details ...

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 ...

that powers analytics and AI-driven solutions. What You'll Do Build and maintain scalable data pipelines in a cloud environment. Develop transformations using PySpark, Python, and SQL. Model data for analytics and reporting. Ensure data quality and performance. Opportunity to engage with stakeholders and challenge external partners. What … Looking For Solid foundations in data engineering with experience in cloud-based platforms. Hands-on experience with Databricks or Fabric. Strong SQL and PySpark skills. Understanding of ETL and dimensional modelling. Excellent communication and problem-solving mindset. Why Join? Work on modernisation projects including real-time reporting and AI. ...

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 ...