The Job As Principle Data Engineer, your responsibilities will include designing, developing, and implementing high-performance data pipelines using Azure Data Factory, Databricks, and other Azure data services. You will architect and manage data solutions using Azure Data Lake Storage, Databricks, Databricks DLT and Streaming and Event Based Architectures. This role … also be responsible for driving best practices for data governance, data quality, data security and data lineage. About You You are a Data Engineer with extensive experience using Azure data … platform services: Azure Databricks, Azure Data Factory, Azure Data Lake Storage, AzureSQLDatabase and/or Azure Synapse Analytics. You will have strong SQL and excellent programming skills in Python (Scala is a strong advantage) as More ❯
Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to … team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data … Develop data transformation logic using SQL, Python, and PySpark code Collaborate with cross-functional teams to translate business requirements into data solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent More ❯
Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to … team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents. Key Responsibilities Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data … Develop data transformation logic using SQL, Python, and PySpark code Collaborate with cross-functional teams to translate business requirements into data solutions Create mapping documents, transformation rules, and ensure quality delivery Contribute to DevOps processes, CI/CD deployments, and agile delivery models Requirements 8+ years' experience in data engineering, ETL development and big data solutions Recent More ❯
and governed, working across engineering, product, and business stakeholders to shape and deliver the long-term vision for enterprise-grade data architecture. Key Responsibilities Design and implement scalable database solutions, conceptual and logical data models, and metadata-driven pipelines Own the full data lifecycle from initial design and ingestion to governance and performance optimisation Lead architectural direction across … practices in data modelling, platform strategy, and pipeline design Support analytics and digital product teams through robust architecture and integration patterns Tech Environment & Tooling Deep focus on MicrosoftAzure and associated services: Azure Data Factory, DataBricks, CosmosDB, AzureSQL Strong usage of SQL Server and More ❯
