6 of 6 Remote/Hybrid Snowflake Schema Jobs in London

directly. Job Title : Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience … reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage, and third-party systems. Implement data quality, reconciliation, audit controls ...

Cloud Data Engineer About the Job you are considering: We are seeking an experienced Cloud Data Engineer with expertise in AWS, Snowflake, dbt, PySpark, and SQL to design, build, and maintain scalable cloud-based data platforms and analytics solutions. The ideal candidate should have strong experience in cloud data … reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize Snowflake data warehouse solutions. Integrate data from multiple sources including databases, APIs, cloud storage, and third‐party systems. Implement data quality, reconciliation, audit controls ...

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory ...

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 ...

contact the recruiter directly. About the Job you are considering: As data engineer Design build test data flows and data models in AWS Snowflake in line with business requirements. Responsible for designing, developing, deploying, and supporting scalable data pipelines and cloud-based data platforms using DevOps best practices. Automate … time. Your Role: Manage data lakes, data warehouses, and lakehouses. Optimize storage, partitioning, indexing, and query performance. Support platforms like Azure Data Lake, Snowflake, Databricks, AWS S3, Redshift, Synapse, or BigQuery. Create CI/CD pipelines for data applications and infrastructure. Automate code deployment using Azure DevOps, GitHub Actions ...

Future Health. As a Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams … keen to speak with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable ...