10 of 10 Remote Snowflake Schema Jobs

Understanding of secure data handling, GDPR, role-based access and privacy-preserving approaches such as pseudonymisation or anonymisation Desirable Knowledge of dimensional modelling, star schema, snowflake schema, data warehousing, lakehouse architecture or analytics engineering principles. Familiarity with Microsoft Purview or similar tools for metadata, lineage and governance. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

scalable architectures. Proven ability to design and build data pipelines using Spark and Python or SQL. Strong understanding of data modelling, including star and snowflake schemas. Experience working with BI tools and semantic layers such as Looker or similar platforms. Familiarity with version control and CI or CD workflows. ...

maximise the value of their Contact Centre data. Key Responsibilities Data engineering & delivery Design relational database schemas, including normalised and analytical (star/snowflake) models. Build and maintain databases across platforms such as SQL Server, PostgreSQL and cloud data platforms (Azure SQL, AWS RDS, Snowflake, BigQuery). Write ...

build, and maintain data pipelines using Python and dlt to ingest data from multiple business systems and APIsDevelop and manage dimensional data models within Snowflake using SQLMesh, dbt, or similar technol ogiesOptimise Snowflake performance and drive cost-efficient data platform manag ementPartner with Business Intelligence teams to deliver … Analytics Engineer, Data Engineer, Analytics Developer, or simila r roleAdvanced SQL skills and strong production-level Python development expe rienceStrong Experience working with Snowflake or similar cloud-based data pla tformsProven experience building and maintaining data pipelines and ELT pro cessesStrong understanding of dimensional data modelling using SQLMesh ...

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, ADF, etc.) Data Modelling Extensive … experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers and semantic models Data Migration & Mapping Demonstrated experience delivering large-scale data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure ...

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, ADF, etc.) Data Modelling Extensive … experience designing: Fact and dimension tables Star and snowflake schemas Aggregation layers and semantic models Data Migration & Mapping Demonstrated experience delivering large-scale data migration projects Strong capability in: Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure ...

event-driven and distributed architectures What we're looking for Strong experience with distributed data architectures (Lambda/Kappa) Advanced data modelling expertise (star & snowflake schemas, SCD Types 1-3, fact optimisation) Deep understanding of lakehouse patterns (Bronze/Silver/Gold) and data mesh principles Proven experience defining … data contracts, cataloguing standards and observability practices Strong background in performance tuning and cloud cost optimisation Hands-on experience with Snowflake, dbt, S3 and Athena Deep knowledge of the AWS data engineering ecosystem Comfortable working in Agile environments (Jira, Confluence) A leadership mindset with the ability to influence, mentor ...

through pragmatic and scalable architectural blueprints. Cloud Data Platform Leadership – design and implement high‐performance cloud data platforms (AWS, Azure, Google Cloud, Databricks, Snowflake) and oversee data modeling, integration, transformation, and DevOps pipelines. Integrated Solution Architecture – design seamless integrations between cloud data platforms, AI/GenAI platforms, and business … design and implementation of complex cloud‐based data ecosystems. Solid engineering background with hands‐on data platform implementation experience (AWS, Azure, GCP, Databricks, or Snowflake). Proven ability to evaluate data architecture decisions, influence business and IT stakeholders, and define strategic data direction. Strong understanding of coding best practices ...