12 of 12 DemandTrendPermanent Star Schema Jobs

design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

and lead analytics projects from onboarding through delivery in a collaborative, fast-growing environment. Analytical Data Engineer Job Overview Cleanse and transform data sets to create one-to-many star schema models from multiple sources. Define fact and dimension tables based on requirements, enabling users to drill down and explore data independently. Proactively search for and review data … outcomes. Develop and deliver advanced analytical dashboards using Sisense, Quicksight, and Power BI, tailored to user needs. Provide technical guidance on data structures from APIs to ensure alignment with star schema models. Support the Lead Solutions Architect on best practices for go-live within client Microsoft environments. Work directly with clients during onboarding, running workshops, gathering requirements, clarifying More ❯

and lead analytics projects from onboarding through delivery in a collaborative, fast-growing environment. Analytical Data Engineer Job Overview Cleanse and transform data sets to create one-to-many star schema models from multiple sources. Define fact and dimension tables based on requirements, enabling users to drill down and explore data independently. Proactively search for and review data … outcomes. Develop and deliver advanced analytical dashboards using Sisense, Quicksight, and Power BI, tailored to user needs. Provide technical guidance on data structures from APIs to ensure alignment with star schema models. Support the Lead Solutions Architect on best practices for go-live within client Microsoft environments. Work directly with clients during onboarding, running workshops, gathering requirements, clarifying More ❯

and loading (ETL) processes, leveraging tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages (Python, PySpark, SQL). Understanding of data warehousing and data modelling techniques (Star Schema, Snowflake Schema). Familiarity with security frameworks (GDPR, HIPAA, ISO 27001, NIST, SOX, PII) and AWS security features (IAM, KMS, RBAC). Strong analytical skills to More ❯

the wider data culture. Key Responsibilities: Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. Build and enhance enterprise data warehouse models (facts, dimensions, star schemas). Collaborate with BI and Analytics teams to translate requirements into engineering solutions. Drive adoption of modern DevOps practices (CI/CD, cost optimisation, automation). Advocate for … solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation. Strong problem More ❯

relational databases (preferably postgres); working with Change Data Capture is a bonus. Data modelling knowledge, breaking down backend logic to understand and form a holistic data model (ie 3NF, star schema, Data Vault). Strong experience with Python, TypeScript or Java (a significant amount of work will be in Java - it is not expected for you to know … as code" practices. Good understanding of DevOps practices, Infrastructure as Code & Continuous Integration/Continuous Deployment. Desirable Experience extracting, loading and transforming large data sets (>100GBs). Experience with schema evolution tools such as flyway or liquibase. Experience with AWS (S3, IAM, RDS). Translate internal data user needs into building BI Dashboards to answer their key business questions. More ❯

in a dynamic environment while evolving our data engineering tools, processes, and standards. Working with both structured and unstructured data to meet diverse business needs. Implementing Kimball methodology and Star Schema design for dimensional modelling. Supporting and enhancing Enterprise Data Warehouse solutions . Leveraging knowledge of emerging technologies to solve modern business challenges. Championing cloud technology best practices More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

culture with strong employee engagement using the Siemens policies and tools, including but not limited to: Growth Talks (target/objective setting & development planning), succession planning, recognition through the Star scheme or ad hoc approach. Implement management policy and direction. Coach, enable and champion the growth and development of your employees to assure their capability and support them with More ❯