9 of 9 Contract Dimensional Modelling Jobs

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

move and expose data safely and reliably. Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation. Data warehousing & modelling (e.g., Redshift; dimensional modelling). Basic Power BI familiarity to partner with BI developers and validate end-to-end data flows. ...

Scala for data processing and automation. Experience with BI and visualisation tools such as Power BI, Tableau, or Looker. Understanding of data warehousing concepts, dimensional modelling, and modern data architecture. Experience integrating APIs and third-party SaaS platforms. Must have excellent stakeholder management and communication skills, with ...

Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration and data services. Data warehousing, dimensional modelling, and dbt. Power BI familiarity. Experience working within government or highly regulated environments. What's In It For You? Opportunity to work ...

Agentic AI. Strong experience Must have prior experience with end-to-end implementation of Cloud data technologies (i.e.Fabric, Snowflake). Expertise in data modelling, ELT and implementing complex stored Procedures. Expertise in various Snowflake technologies like Snowpark, SnowPipe, SnowPipe Stream, Dynamic Tables, Document AI, Cortex Analytics, Unistore etc. Expertise … systems, Salesforce, GIS, PI Historian to Snowflake. Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modelling and third normal form) Experience with data security and data access controls and design Deep understanding of SoX, GDPR and Regulatory/ ...

Engineering Proven experience creating trusted analytics outputs from curated datasets Strong understanding of KPI definition, metrics and business logic Experience working with semantic or dimensional models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/ ...

grade pipelines. Expert-level SQL , including optimization and data modelling. Azure Cloud experience (ADF, Functions, Storage, Key Vault). Deep understanding of data warehousing, dimensional modelling, and scalable architectures . Proficiency in Git, CI/CD, automated testing, and modern engineering best practices. Experience with API and SFTP … Experience with Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Collaboration with modeling teams in engineering-modelling interfaces ...

modernize data modeling methodologies to enhance overall team agility and performance Required Expertis :Master Proficien cy in advanced Data Modeling Techniques and Methodologies (e.g., Dimensional Modeling, Data Vault, Normalized/3NF .Proven experience leading technical teams, managing deliverables, and influencing high-level architectural decision s.Strong facilitation skills with ...

skills, including working with structured and semi-structured data Experience validating and querying data using tools such as Athena and notebooks Understanding of data modelling concepts, including dimensional models and slowly changing dimensions Ability to generate realistic test data for various scenarios Additional Knowledge Understanding of distributed data ...