26 to 39 of 39 Permanent Dimensional Modelling Jobs

processes that support scalable analytics and reporting Your Skills and Experience Strong commercial experience as a Data Engineer with solid foundations in SQL and dimensional modelling Experience working with Snowflake or similar cloud data warehouses such as BigQuery Good Python capability, including orchestration tools such as Airflow Proven ...

analyse requirements and translate them into functional and technical solutions.# Skills and Experience required**Must have*** A proven track record to use data modelling techniques such as entity-relationship diagrams, dimensional modelling, and schema design to represent data structures and relationships in a logical and conceptual way. ...

prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides Enable client teams … e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards) Excellent communication skills with the ability to explain ...

will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar modern BI tools Confidence working with dimensional models and semantic layers Comfortable engaging directly with stakeholders and translating business questions into analytics solutions Experience rebuilding or rationalising BI estates rather than ...

will have the following skills and experience: Strong commercial SQL capability Experience with Power BI, Looker or similar modern BI tools Confidence working with dimensional models and semantic layers Comfortable engaging directly with stakeholders and translating business questions into analytics solutions Experience rebuilding or rationalising BI estates rather than ...

Defining and owning the enterprise data architecture strategy and roadmap Designing scalable data models, pipelines, and storage solutions Establishing architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) – including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies … both technical and business stakeholders What We’re Looking For Proven experience as a Data Architect/Enterprise Data Architect Strong expertise in data modelling and SQL Hands-on experience with AWS data stack (or similar cloud platforms) Deep understanding of modern data architectures (lakehouse, warehousing, ETL/ ...

engineering and business insight. You’ll be the first dedicated analytics engineering hire in a growing data function, giving you real influence over data modelling, transformation standards, and how data is consumed across the business. You’ll work closely with stakeholders across marketing, product, and operations to turn … working with modern data stacks Hands-on expertise with Google BigQuery Proven experience using dbt to build and manage transformation layers Solid understanding of dimensional modelling and building analytics-ready datasets (e.g. star schema) Experience working closely with BI tools and defining semantic layers Exposure to tools like ...

confident, data driven decisions. Key Responsibilities Design, build, and maintain analytics models that convert raw data into trusted, business-ready datasets. Own the full modelling lifecycle (staging → core → marts). Define and maintain consistent metrics, dimensions, and business logic. Implement testing, data quality checks, and SLAs to ensure reliability. … accurate, consistent, and actionable. A degree in Computer Science, Engineering, Maths, Economics, Data Science is desirable. Advanced SQL skills and experience with analytical/dimensional modelling. Practical experience with modern ELT tools (Dataform/dbt) and Git workflows. Knowledge of cloud data warehouses, ideally BigQuery. Familiarity with orchestration tools ...

delivery of enterprise-wide data and BI solutions within a secure defence environment. The role will focus on SQL development, data integration, ETL, data modelling and reporting, helping to integrate data from multiple enterprise systems and transform it into trusted, actionable insight for business stakeholders. The successful consultant will … would have... Strong hands-on SQL development experience, ideally with SQL Server. Experience building end-to-end data pipelines, including ETL, data modelling and reporting. Experience developing and maintaining ETL processes to extract, cleanse, transform and integrate data from multiple sources. Hands-on experience with SSIS and/ ...

interacts with these technologies. Designing scalable enterprise architectures, not ad-hoc integrations. Modern Data Architecture Lakehouse, data mesh, ELT/ETL patterns, MDM and dimensional modelling. Steering the "doers" in the team-architecting the solution, not building it yourself. Team & Practice Growth Mentoring and guiding a growing data team. … DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands-on builder. Willingness to travel for client sessions (primarily London). Ready to Take ...

hear from you. What you'll do Work with customers daily to transform their existing solutions, spreadsheets, and business problems into sophisticated multi-dimensional models by Understanding business requirements & document them Designing & building the corresponding Pigment applications Training/Co-building with the customer so they are self-sufficient ...

fast-growing SaaS firm in Greater London is looking for a Customer Solutions Specialist to transform business problems into multi-dimensional models and build corresponding applications. The ideal candidate will excel in building complex systems, structuring unstructured data, and fostering customer relationships. Candidates should possess strong English skills ...

Knowledge of Docker and containerisation Understanding of encryption techniques (Server Side and client-side) Familiarity with Amazon Textract and Comprehend Strong understanding of data modelling concepts, including dimensional models and slowly changing dimensions Additional Skills: Ability to translate customer requirements into functional technical solutions Familiarity with engineering best ...

creation of data products that enable self-service analytics and reduce "Shadow D&A" practices. Qualifications Job Requirements, Knowledge & Experience Demonstrable experience in data modelling for enterprise platforms, specifically with deep knowledge of Data Vault 2.0 and dimensional modelling. Strong technical understanding of Lakehouse Architecture and modern cloud ...