7 of 7 Permanent PySpark Jobs in the West Midlands

will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting ...

notebooks) Experience building or working within modern data warehouse architectures Ability to get up and running quickly without heavy onboarding Nice to have: Python, PySpark or Spark experience Exposure to APIs and external data integration Experience working in evolving or transforming data environments Most importantly, youll be someone ...

modelling techniques Understanding of metadata management, data governance, and data quality frameworks Proficiency with SQL and ideally one or more programming languages (e.g., Python, PySpark) Experience with database technologies and data warehousing principles (star schema, snowflake, data vault) Experience working with cloud data services specifically with AWS (including Redshift ...

lakes, lakehouse, distributed systems) Exposure to proof of concept (PoC) development Knowledge of object storage and distributed processing frameworks Familiarity with technologies such as: PySpark, Dremio, Apache Iceberg, Apache Airflow, S3/object storage concepts, IBM Cloud (or willingness to upskill) Experience in financial services or highly regulated environments ...

deploying the Lakehouse platform in Azure. Owning Databricks engineering, administration and platform optimisation. Designing end-to-end data platform solutions Leading implementation using Databricks, PySpark, Spark SQL and Azure Data Factory. Creating and maintaining CI/CD pipelines and automated testing frameworks. Developing APIs to support integration Implementing monitoring … logging and alerting for platform reliability. YOUR SKILLS AND EXPERIENCE: Deep expertise in Databricks, PySpark, Python and SQL. Proven experience designing and delivering Lakehouse solutions. Strong DevOps capabilities, including CI/CD and automated testing. Experience with Infrastructure as Code and cloud automation. Familiarity with monitoring, logging and alerting ...

data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business … Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership ...

business. Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets. Develop and maintain robust SQL and PySpark transformations within Databricks. Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting. SKILLS AND EXPERIENCE The successful Analytics … following skills and experience: Strong commercial experience as an analytics focused engineer, rather than an analyst. Advanced data modelling capability, including dimensional modelling. Strong PySpark and SQL skills in production environments. Hands on experience with Databricks, including pipelines and governed data environments. A solid grounding in engineering best practices ...