PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflakeschema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯
PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflakeschema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯
london (city of london), south east england, united kingdom
HCLTech
PySpark, and SQL, with the ability to build modular, efficient, and scalable data pipelines. Deep expertise in data modeling for both relational databases and data warehouses, including Star and Snowflakeschema designs. Extensive experience working with AWS Redshift and Aurora for data warehousing and transactional workloads. Experience using dbt (Data Build Tool) for building modular, version-controlled, and More ❯
ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business More ❯
You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity to work in a scaling HealthTech company with real More ❯
You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity to work in a scaling HealthTech company with real More ❯
london (city of london), south east england, united kingdom
Roc Search
You’ll be working with: Programming: Python, SQL, Scala/Java Big Data: Spark, Hadoop, Databricks Pipelines: Airflow, Kafka, ETL tools Cloud: AWS, GCP, or Azure (Glue, Redshift, BigQuery, Snowflake) Data Modelling & Warehousing 🔹 What’s on Offer 💷 £80,000pa (Permanent role) 📍 Hybrid – 2 days per week in Central London 🚀 Opportunity to work in a scaling HealthTech company with real More ❯
Reigate, Surrey, England, United Kingdom Hybrid / WFH Options
esure Group
Qualifications What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business processes into scalable and user-friendly data structures that drive analytics, reporting, and scenarios powered by … Delta Live Tables Strong background in building high-performance, scalable data models that support self-service BI and regulatory reporting requirements Direct exposure to cloud-native data infrastructures (Databricks, Snowflake) especially in AWS environments is a plus Experience in building and maintaining batch and streaming data pipelines using Kafka, Airflow, or Spark Familiarity with governance frameworks, access controls (RBAC More ❯
