DATA ENGINEER

Company Description

🚀 Join Inetum – We're Hiring a DATA ENGINEER! 🚀

At Inetum, a leading international digital consultancy, we empower 27,000 professionals across 27 countries to shape their careers, foster innovation, and achieve work-life balance. Proudly certified as a Top Employer Europe 2024, we’re passionate about creating positive and impactful digital solutions.

Job Description

We are seeking a highly motivated and technically proficient Data Platform Support Specialist to provide operational support for a data solution built on Azure Data Factory, Snowflake, and Power BI. This is not a development role, but rather a hands-on support position focused on ensuring the reliability, performance, and smooth operation of the data platform.

Qualifications

Key Responsibilities:

• Monitor and maintain data pipelines in Azure Data Factory, ensuring timely and accurate data movement.
• Provide support for Snowflake data warehouse operations, including troubleshooting queries, managing access, and optimizing performance.
• Assist business users with Power BI dashboards and reports, resolving issues related to data refreshes, connectivity, and visualization errors.
• Collaborate with data engineers and analysts to ensure platform stability and data integrity.
• Document support procedures and maintain knowledge base articles for recurring issues.
• Communicate effectively in English with internal teams and stakeholders.

Required Skills & Qualifications:

• High proficiency in English (C1 or above).
• Hands-on experience with:
• Azure Data Factory (monitoring, troubleshooting, pipeline execution).
• Snowflake (SQL, performance tuning, user management).
• Power BI (report troubleshooting, data sources, refresh schedules).
• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple support tasks.
• Familiarity with ITIL or similar support frameworks is a plus.
• Azure Data Factory (monitoring, troubleshooting, pipeline execution).
• Snowflake (SQL, performance tuning, user management).
• Power BI (report troubleshooting, data sources, refresh schedules).

Nice To Have:

• Experience in data governance or data quality monitoring.
• Basic understanding of cloud infrastructure (Azure).
• owledge of scripting (e.g., PowerShell or Python) for automation.

Additional Information