10 of 10 Permanent PySpark Jobs in the West Midlands

pipelines and working with lakehouse architectures Knowledge of Azure tools such as Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience ...

mentoring junior engineers and promoting engineering best practices Skills & Experience: Understanding of data processing using Apache Spark Use of Python, SQL, and familiarity with PySpark Experience using Apache Airflow for task orchestration Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena ...

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 ...

engineering within distributed systems Proven ability to build and optimise data pipelines at scale Solid Python skills with exposure to tools such as Spark, PySpark, and Hadoop Strong understanding of data ingestion and batch processing methodologies Experience with text or unstructured data is advantageous but not essential A hands ...

scalable, automated data pipelines across SQL databases, APIs, cloud platforms, and business systems (including Dynamics 365) Develop data transformation processes using SQL, Python/PySpark, and modern data tools Implement data quality checks, validation, and monitoring to ensure accuracy and reliability Structure and model data to support BI reporting … building automated data pipelines using cloud platforms (e.g. Microsoft Fabric, Azure Data Factory, Synapse or similar) Strong SQL skills and experience with Python or PySpark Experience integrating data from multiple systems, including APIs and business platforms Understanding of data quality, validation, and governance principles Ability to deliver well-structured ...

scalable, high-quality data platform from the ground up. The Role Design and build scalable ETL/ELT pipelines in Microsoft Fabric using PySpark and SQL Develop transformation logic within Fabric Lakehouses using Delta Lake and medallion architecture principles Integrate data from ecommerce, ticketing, and marketing platforms into … best practices in data engineering, documentation, and version control Requirements Strong hands-on experience with Microsoft Fabric (Lakehouse, Warehouse, pipelines) Advanced SQL and strong PySpark experience Proficiency in Python for data processing and API integration Experience building Power BI models and dashboards for business reporting Strong understanding ...

optimise end-to-end data pipelines Act as Databricks SME partnering with stakeholders to gather requirements and drive continuous improvement Develop solutions using PySpark, Spark SQL and Python Implement and maintain CI/CD practices Enhance and optimise existing data pipelines About You Proven experience in Databricks, Delta Lake … PySpark and Spark SQL Excellent communication skills - ability to partner with the business and key stakeholders to champion best practice in data engineering Strong Python and SQL skills Knowledge of CI/CD practices On Offer Salary - up to £75,000 Bonus - up to 15% 27 days annual leave ...

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 ...