9 of 9 Remote Permanent Star Schema Jobs

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 ❯

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 ❯

SQL, Python, PowerShell, and Regular Expressions Strong knowledge of data governance principles, frameworks, and best practices. Strong knowledge of data modeling specifically in Data Vault, Lake, and Relational/Star Schema. Proficiency in data management concepts, including data quality, data lineage, metadata management, and data security. Excellent written and verbal communication skills, with the ability to explain complex technical More ❯

Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect More ❯

Experience managing large and complex datasets, with a strong command of SQL for cloud-based environments (Fabric, Snowflake, BigQuery, Redshift, etc.). A solid understanding of data modelling techniques (star schema, data vault, dimensional modelling). Proficiency in Excel-based data workflows for various Agile Retail projects. Hands-on experience with data pipeline orchestration tools (Airflow, dbt, Prefect 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 ❯

engineers to meet goals. Proven experience with cloud-based data warehouses. Strong SQL and relational database skills (preferably Postgres); CDC experience is a bonus. Knowledge of data modeling (3NF, star schema, Data Vault). Experience with Python, TypeScript, or Java (Java learning expected). Familiarity with data tools like dbt or Spark; CDC tools like Debezium are a … bonus. Build resilient, scalable, and observable data systems. Understanding of DevOps, Infrastructure as Code, CI/CD practices. Desirable skills Experience handling large datasets (>100GB). Knowledge of schema evolution tools like Flyway or Liquibase. Experience with AWS services (S3, IAM, RDS). Ability to translate data needs into BI dashboards. Knowledge of data governance, lineage, quality, and visualization More ❯

translating business requirements and use cases into optimized models, data flows, and developing database solutions Experience with and knowledge of relational databases, entity relationships, data warehousing, facts, dimensions, and star schema concepts and terminology Strong proficiency with SQL Server, T-SQL, SSIS, stored procedures, ELT processes, scripts, and complex queries Working knowledge of Azure Databricks, Delta Lake, Synapse More ❯