and enterprise architecture, ensuring our data infrastructure is scalable, reliable, and aligned with current and future business needs. Key Responsibilities 1. Data Warehouse Maintenance & Development Maintain and optimise the enterprise data warehouse to support reporting, analytics, and operational needs. Conduct performance tuning, updates, and enhancements to ensure reliability and … adoption and optimisation of MDM tools and processes. 4. ETLDevelopment & Data Processing Develop and maintain ETL processes to extract, transform, andload data from diverse sources. Monitor and troubleshoot data flow and processing issues. 5. Data Governance & Quality Assurance Enforce data governance standards and ensure data … to identify root causes and implement effective resolutions. Skills & Experience Essential: Strong experience in developing and maintaining enterprise data warehouses. Proficiency in designing and managing ETL processes and integration pipelines. Practical knowledge of master data management principles. Familiarity with both legacy and cloud-based application environments. Attention to detail More ❯
overall performance. Important Responsibilities include and not limited to; Develop and maintain new/current features of the data platform. Responsible for delivery of development projects, including scoping, writing and sizing of stories involved. Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate … using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure SQL development skills Experience using Dataform or dbt Demonstrated strength in data modelling, ETLdevelopment, and data warehousing Knowledge of data management fundamentals andMore ❯
projects. You will empower our clients to harness their data, drive decision-making, and achieve their business goals. What You’ll Do: Solution Design & Development : Architect and implement scalable, high-performance data solutions using Microsoft Azure technologies, adhering to best practices for robust delivery. Design and maintain ETL … in data engineering or a related field, delivering solutions across industries. Extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric. Proficiency in developing ETL/ELT pipelines using Azure Data Factory or similar tools. Strong understanding of data modelling, warehousing, and architecture best practices. Expertise in programming languages More ❯
projects. You will empower our clients to harness their data, drive decision-making, and achieve their business goals. What You’ll Do: Solution Design & Development : Architect and implement scalable, high-performance data solutions using Microsoft Azure technologies, adhering to best practices for robust delivery. Design and maintain ETL … in data engineering or a related field, delivering solutions across industries. Extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric. Proficiency in developing ETL/ELT pipelines using Azure Data Factory or similar tools. Strong understanding of data modelling, warehousing, and architecture best practices. Expertise in programming languages More ❯
projects. You will empower our clients to harness their data, drive decision-making, and achieve their business goals. What You’ll Do: Solution Design & Development : Architect and implement scalable, high-performance data solutions using Microsoft Azure technologies, adhering to best practices for robust delivery. Design and maintain ETL … in data engineering or a related field, delivering solutions across industries. Extensive experience with Azure Synapse Analytics, Databricks, and Microsoft Fabric. Proficiency in developing ETL/ELT pipelines using Azure Data Factory or similar tools. Strong understanding of data modelling, warehousing, and architecture best practices. Expertise in programming languages More ❯
