51 to 75 of 162 Dimensional Modelling Jobs in the UK

preferred). Advanced SQL development and performance tuning skills. Experience with Python, PySpark, or Scala for data processing. Knowledge of data warehousing concepts and dimensional modelling. Experience with CI/CD pipelines using Azure DevOps or GitHub. Understanding cloud architecture and distributed data processing. Data Management Experience with ...

technologies.We are looking for:Solid experience in data architecture, with a track record of designing and delivering enterprise-scale data solutionsProficiency in data modelling techniques (e.g. dimensional modelling, data vault, medallion architecture) and strong SQL skillsExperience with cloud data platforms, particularly AWS, as well as platforms such ...

experience with Azure SQL Database and SQL Server.Proficiency in Python, PySpark, Scala and Spark for data processing and distributed computing.Understanding of data warehousing concepts, dimensional modelling and ETL/ELT frameworks.Knowledge of data quality, data governance, metadata management and data security principles.Experience with CI/CD pipelines using ...

Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR ...

Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling,lakehousepatterns, and the governance and operational setup of tools likedbt, and applies data security and GDPR principles ...

/ELT practices. Experience working with modern cloud data platforms and orchestration technologies. Experience within the Microsoft data ecosystem would beadvantageous. Experience of data modelling for reporting and analytics, including dimensional modelling and designing datasets for downstream consumption. Experience with modern engineering practices including Git-based source ...

high-quality, trustworthy, and easily consumable datasets and visualisations for business users. The ideal candidate will possess a strong background in SQL, dbt, data modelling, ETL/ELT principles and experience with modern cloud data platforms. Core Responsibilities Develop and Maintain Transformation best practices in ELT Pipelines: Design, develop … scalable workflows using tools like dbt to transform raw data loaded into our data warehouse (Snowflake) into clean, ready-to-use data models. Data Modelling: Implement best-practice data modelling and software engineering techniques to ensure data structures are optimised for performance, accuracy, and ease ...

term strategy, making this a highly visible role with significant business impact. THE ROLE You will be responsible for shaping the data architecture and modelling strategy across a modern Azure Data Lakehouse environment.Key responsibilities include: Designing and governing enterprise data models across Medallion Architecture layers. Building scalable dimensional models using Kimball methodologies and star schemas. Defining modelling standards, governance frameworks, and best practices. Designing and maintaining curated semantic layers for reporting and analytics. Collaborating with Data Engineers, Analytics teams, and senior stakeholders across the business. Producing architecture artefacts, data models, documentation, and design standards. Acting ...

deployment, optimisation and support. Key duties: Business Intelligence & Reporting Design, develop and maintain enterprise Power BI solutions Design and maintain scalable data models using dimensional modelling and star schema best practices Create intuitive dashboards, reports and visualisations that enable data-driven decision making. Develop and maintain semantic models … including: DAX Power Query Semantic Models Row Level Security (RLS) Workspace and deployment management Extensive SQL Server development experience Experience designing and implementing dimensional models Experience gathering requirements and producing technical documentation Experience working directly with business stakeholders and clients Experience troubleshooting and performance tuning reporting and database solutions ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements ...

with Azure Databricks and Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements ...

implementing solutions on AWS data and analytics platforms.* Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts.* Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon ...

Databricks Structured Streaming and Azure Stream Analytics Developing and maintaining modern data platforms, including Delta Lake/Lakehouse architectures on ADLS Gen2, curated datasets, dimensional models and Azure Synapse Dedicated SQL Pools Analysing current business practices, processes and procedures, identifying opportunities to leverage Microsoft Azure Data & Analytics Services ...

Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that guide our business: Play to win, Solve the real problem, Build trust every ...

Airflow. Advanced Python and SQL skills with a strong software engineering mindset. Proven experience building complex, scalable batch and event-driven pipelines. Strong data modelling experience, including dimensional modelling, Data Vault or equivalent. Experience with Dataform or similar SQL-based transformation tooling. Understanding of CI/ ...

engineering experience across batch, streaming and CDC ingestion patterns. Advanced SQL skills and strong Python development experience. Experience using dbt for data transformation and modelling would be highly beneficial. Experience building and optimising ETL/ELT pipelines. Good understanding of data warehousing, dimensional modelling and analytical data ...

proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles. Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge ...

proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles. Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge ...

years of experience Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions) Strong SQL and experience with data warehousing (Redshift, dimensional modeling) Proficiency in Python or Scala for data engineering Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet) Experience migrating data ...

background in data modeling (conceptual, logical, physical), warehousing (e.g., Snowflake, Redshift, BigQuery), and database design Familiarity with modern data transformation practices (e.g., dbt) and dimensional modeling patterns, including Slowly Changing Dimensions (SCD) Proficient in data modeling tools (e.g., ER/Studio, Erwin) and relational/NoSQL databases (e.g. ...

leadership experience working with a modern cloud data platform (must have some direct Snowflake exposure to be able to hit the ground running) Dbt modelling experience, or the demonstrable capability and willingness to own that learning quickly, alongside a commitment to continuous professional development Advanced SQL, including complex transformation … logic, data modelling and query performance optimisation Strong dimensional modelling knowledge: facts, dimensions, conformed dimensions and slowly changing dimensions Hands-on engineering credibility, with the judgement to know when to build, when to simplify, and when to stop Proven people leadership: setting direction, giving feedback, and developing ...

leadership experience working with a modern cloud data platform (must have some direct Snowflake exposure to be able to hit the ground running) Dbt modelling experience, or the demonstrable capability and willingness to own that learning quickly, alongside a commitment to continuous professional development Advanced SQL, including complex transformation … logic, data modelling and query performance optimisation Strong dimensional modelling knowledge: facts, dimensions, conformed dimensions and slowly changing dimensions Hands-on engineering credibility, with the judgement to know when to build, when to simplify, and when to stop Proven people leadership: setting direction, giving feedback, and developing ...

leadership experience working with a modern cloud data platform (must have some direct Snowflake exposure to be able to hit the ground running) Dbt modelling experience, or the demonstrable capability and willingness to own that learning quickly, alongside a commitment to continuous professional development Advanced SQL, including complex transformation … logic, data modelling and query performance optimisation Strong dimensional modelling knowledge: facts, dimensions, conformed dimensions and slowly changing dimensions Hands-on engineering credibility, with the judgement to know when to build, when to simplify, and when to stop Proven people leadership: setting direction, giving feedback, and developing ...

large-scale Azure data transformation programme. You'll play a key role in shaping a modern Data Lakehouse environment, driving best practice in data modelling, governance, and analytics while working closely with senior stakeholders across the business. The Company This organisation is a well-established UK professional services business … focused on improving data visibility, strengthening governance, and enabling more advanced analytics across the business. The Role You will lead data architecture and modelling across a modern cloud platform, ensuring data is structured, governed, and accessible for reporting and analytics.Responsibilities include: Designing enterprise-wide data models within a Medallion ...