Data Engineer

Role Overview

As a Data Engineer, you’ll play a pivotal role in shaping our data strategy and driving innovation across our global operations. You’ll work in a dynamic environment, leveraging cutting-edge Azure technologies to deliver actionable insights and support our business objectives.

What You Will Do

Design and Develop Data Pipelines: Create scalable data pipelines using Azure services like Data Factory, Logic Apps, and Delta Lake to ensure seamless data flow and transformation. Optimize Data Storage: Manage and enhance data storage solutions, ensuring high data quality and accessibility. Support Analytics and Reporting: Develop data models and datasets to support analytics, reporting, and business intelligence tools like Power BI.

Why It Might Be a Fit

You will be part of the overall Data Partners community, and a key actor of the Data Engineering Network. You will work closely with cross-functional teams to integrate data seamlessly and deliver high-quality service.

Requirements

• Technical Expertise: Proven experience in data engineering, with a strong understanding of Azure services and ETL processes.
• Programming Skills: Proficiency in SQL and Python for data processing, scripting, and automation.
• Data Modelling: Strong knowledge of data storage solutions and best practices in data modelling within Azure.
• Business Intelligence: Experience with Power BI for visualization and reporting.
• Problem-Solving: An entrepreneurial mindset with the ability to work independently and deliver effective solutions.
• Communication: Strong interpersonal skills and the ability to collaborate effectively across teams.

Benefits

• Competitive compensation
• Opportunities for professional development and growth
• Real culture of expertise & diversity
• Attractive and competitive compensation
• Planting a tree for every new recruit (with a permanent contract)

Tagged as: Power BI, Python, SQL