18 of 18 Permanent PySpark Jobs in the Thames Valley

tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements.

driving a culture of continuous improvement. Requirements Candidates should have: 5+ years of experience in data engineering with a strong focus on Databricks (SQL & PySpark). Extensive experience with Azure data services, including ADF, Synapse, ADLS, and Azure Functions. Proven track record of designing and implementing metadata-driven data

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/

Engineering, with a minimum of 3 years of hands-on Azure Databricks experience delivering production-grade solutions. Strong programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/

large-scale data processing. Hands-on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments. If you are interested please apply below

large-scale data processing. Hands-on experience with Databricks and Azure. Strong stakeholder communication and problem-solving skills. Tech Stack Required: Databricks DBT Python PySpark SQL Azure Bonus: Experience in eCommerce environments. If you are interested please apply below

GenAI models. Familiarity with prompt engineering and model optimization techniques. Contributions to open-source projects in the MLOps or GenAI space. Familiarity with PySpark for distributed data processing. €65,000-82,000 a year in Spain; £55,000-62,000 a year in United Kingdom We are dedicated

experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques

experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques

experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques

experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques

Data Engineer Salary: Up to £75,000 I am working with a forward-thinking organisation that is modernising its data

Data Engineer Salary: Up to £75,000 I am working with a forward-thinking organisation that is modernising its data

collaboratively with our business partners to understand requirements and develop business focused solutions Advanced proficiency in Python with a strong focus on Pandas and PySpark Work in cross-functional agile teams to continuously experiment, iterate, and deliver on new objectives. Strong track record in working with open-source projects … ability to explain the complex technical topics and conduct code reviews. Experience building data pipelines and orchestration frameworks Requirements Advanced Python Strong knowledge of PySpark and the Databricks ecosystem Implement scalable and re-usable frameworks and solutions utilizing good DevOps practices. Strong software engineering fundamentals with a focus

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