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Data Engineer - Microsoft Azure
Our client is a multinational consumer goods corporation, specializing in a wide range of personal care and hygiene products; organized into several segments including Beauty; Grooming; Health Care; Fabric & Home Care; and Baby and Feminine care.
Location
This role will be based out of our Weybridge office and will require office attendance potentially up to 5 days per week with a Tue/Wed/Thu minimum.
Responsibilities
- Design, Develop, and Maintain Data Solutions: Create scalable data pipelines and analytical solutions using Microsoft Azure. Evolve approved architectural designs into technical implementations that enable efficient data acquisition, processing, storage, and insight generation.
- Enhance Existing Automations and Workflows: Improve and automate current data workflows and business automations to boost data quality and streamline internal processes, leveraging Azure technologies for optimal results, enhanced performance and increased reliability.
- Develop interactive and visually compelling PowerBi reports, dashboards and visualisations: Design and develop interactive, visually appealing Power BI reports and visualisations. Build, optimise and maintain data models and DAX calculations to ensure data accuracy and consistency. Enhance report performance by implementing effective data designs, optimising queries, and configuring reports strategically.
- Collaborate with Cross-Functional Teams: Engage with various multi-national teams both within and outside of our clients to gather and understand project requirements, translating them into the delivery of high-quality, tailored solutions that meet business needs.
- Implement Best Practices: Establish and advocate for best practices in data management and governance. Play a pivotal role in shaping the adoption of new technologies at our clients, and provide guidance on structuring cloud environments to support our ambitious data initiatives and future projects.
Qualifications
- Mastery of Databricks, Python/PySpark and SQL/SparkSQL.
- Experience in Big Data/ETL (Spark and Databricks preferred).
- Expertise in Azure.
- Proficiency with versioning control (Git preferred).
- Knowledge of and /or experience with using or building CI/CD pipelines.
- Knowledge of DAX and PowerBI front end.
- Previous experience or understanding of Data Models.
- Knowledge of Agile SCRUM and DevOps methodologies.
- English proficiency and at least a bachelor’s degree.
