26 to 30 of 30 Dimensional Modelling Jobs in the UK

Requirements • Experience with Databricks, Spark and working knowledge of DBT for data processing and transformation. • Working understanding of Data Warehousing concepts of Data Vault, Dimensional modelling, OLAP design. • Hands-on experience building data pipelines using technology such as Azure Data Factory, AWS Glue, GCP Dataflow and Apache Spark ...

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. Structured learning and certification opportunities. ...

implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. Design and develop integrated data models using DBT and dimensional modelling best practices. Your Experience We’re looking for a proactive, problem-solving professional with strong technical and communication skills. Essential experience: 3+ years ...

various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms … operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding ...

with senior stakeholders to deliver impactful solutions. Specifically, you can expect to be involved in the following: Designing and implementing both relational (3NF) and dimensional (star/snowflake) data models for large-scale financial systems and analytical platforms. Working hands-on with ETL design, metadata management, and data cataloguing … data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in ERWin (or equivalent tools such as Sparx, RSA, Visio). Hands-on experience with relational ...