6 of 6 Remote/Hybrid Snowflake Schema Jobs in London

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 ...

deployments on Kubernetes platforms. You will assist with data modelling and data warehouse structures, including logical and physical data models and star/snowflake schema concepts. A key part of the role will be supporting data validation, reconciliation and monitoring to ensure data assets are accurate, reliable ...

performance solutions aligned with your target data architecture. Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such … Design and implement solutions using key partner technologies, including: Google Cloud – BigQuery, Dataflow, Vertex AI, and more dbt Labs – Modern analytics engineering and transformation Snowflake – Cloud-native data warehousing Fivetran – Automated data pipelines for seamless integration What You’ll Bring Data Architecture: Proven experience designing and building data warehouse ...

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 ...

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 ...