DATA ENGINEER at Inetum

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Snowflake, Power BI, SQL, Performance Tuning, User Management, Data Governance, Data Quality Monitoring, Analytical Skills, Problem-Solving Skills, Scripting, PowerShell, Python, ITIL, Data Pipelines, Data Visualization

Industry

IT Services and IT Consulting

Description

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. 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

Responsibilities

Monitor and maintain data pipelines in Azure Data Factory and provide support for Snowflake data warehouse operations. Assist business users with Power BI dashboards and collaborate with data engineers and analysts to ensure platform stability.