Data Engineer at SGS

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Azure Data Factory, Snowflake, Power BI, Data Pipelines, Production Support, Troubleshooting, Data Modeling, DAX, Collaboration, Communication, Agile Approach, Service Requests, Incident Management, Data Visualization, Team Player

Industry

Professional Services

Description

Company Description SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of 99,500 dedicated professionals with over 145 years of service excellence. Job Description The Global Technology Office is an internal team supporting the entire SGS business by implementing Data & BI solutions that optimize processes and create value for clients, using an agile approach, hybrid teams, and fast delivery. We are now seeking a Data Engineer with strong technical expertise in SQL, Azure Data Factory, Snowflake, and Power BI to join our global team. This role combines technical development with operational support: maintaining applications, handling service requests, and ensuring production stability, while also building and enhancing data pipelines and reporting solutions. You will collaborate with colleagues worldwide and engage with international stakeholders, including government and business users, ensuring they can make data-driven decisions. This position offers unique exposure to global projects and the opportunity to contribute directly to the success of our clients. Responsibilities Maintain and support existing applications, ensuring performance and stability. Handle service requests, troubleshoot incidents, and provide timely resolutions. Design, build, and enhance data pipelines using Azure Data Factory and Snowflake. Develop and maintain Power BI reports and dashboards to deliver actionable insights. Collaborate with business stakeholders worldwide to understand requirements and translate them into data solutions. Work closely with the team to deliver enhancements and contribute to ongoing projects. Qualifications Strong coding skills in SQL (query optimization, stored procedures, data transformations). Hands-on experience with Azure Data Factory (pipelines, orchestration, automation). Experience with Snowflake or similar cloud data warehouses. Proficiency in Power BI (data modeling, DAX, visualization best practices). Proven experience in production support and troubleshooting data environments. Strong communication skills with the ability to collaborate with global stakeholders. Team player, collaborative, and empathetic. Nice to Have Knowledge of Python or other scripting languages for automation. Familiarity with CI/CD practices for data pipelines. Exposure to other Azure services (Synapse, Data Lake, Databricks). Additional Information Why SGS? Opportunity to work on impactful projects with global reach. Collaboration with diverse international stakeholders, including government and business decision-makers. Professional growth in a dynamic, data-driven environment. A culture that values innovation, teamwork, and continuous learning. Enjoy a flexible schedule and a hybrid work model (50% on-site, 50% remote) SGS university and Campus for continuos learning options. Multinational environment where you will work with colleagues from multiple continents. Benefits platform. Join Us: At SGS, we are committed to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Apply now to be part of our motivated and dynamic team!

Responsibilities

Maintain and support existing applications while ensuring performance and stability. Design, build, and enhance data pipelines and reporting solutions to deliver actionable insights.