4 of 4 PySpark Jobs in Tyne and Wear

backgrounds. The technology stack is flexible, but experience in some of the following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake ...

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 ...

technical leadership and taking ownership. Key responsibilities include: Designing and building curated datasets using dimensional and semantic modelling techniques Developing and maintaining SQL and PySpark transformation pipelines Partnering closely with Data Engineers Translating business requirements into clear, well-documented data models YOUR SKILLS AND EXPERIENCE: Advanced SQL, including complex … transformations and modelling Databricks PySpark and working within a Lakehouse or modern data platform Dimensional modelling and analytics engineering best practices Communicating effectively with both technical and non-technical stakeholders THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

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 ...