Data Engineer

Direct message the job poster from Fujitsu

Would you like to work for a worldwide IT leading firm and join our Center of Excellence in Analytics & Data Science in EMEIA? Do you have a solid background in leading projects in the Healthcare area? Do you enjoy helping customers to enhance their business by achieving the delivery and implementation of projects with Quality and on time? Are you business minded, proactive, curious, and independent? If so, we would like you to join our team in Madrid!

In the CoE of Advanced Analytics in Fujitsu we are currently looking for a Data Engineer with experience in data processing and analysis within healthcare environments. The ideal candidate will be skilled in statistical tools such as SPSS and Python, and capable of handling data from various sources—including relational databases, OLAP cubes, and public health information systems—to support clinical, epidemiological, and health policy decision-making.

As our future Data Engineer, you will :

Join an interdisciplinary team committed to leveraging data for informed public health decision-making.

Extract and process data from multiple sources such as multidimensional cubes, SQL databases, and health surveillance systems.

Generate frequency tables and descriptive statistics for epidemiological reports (e.g., vaccination tracking).

Develop scripts and automated processes for data cleaning, integration, and validation.

Document workflows and results clearly for collaboration with clinical or analytical teams.

Collaborate with healthcare and analytics professionals to align data work with operational goals.

Ensure compliance with data protection regulations (e.g., GDPR) when handling sensitive information.

Your profile

You have a Bachelor’s degree in Telecommunications, Computer Science, or Engineering , and at least 1 year of experience in a similar position, preferably within the IT and / or consultancy industry.

Proven experience using SPSS and Python for statistical analysis.

Experience working with healthcare databases or clinical records.

Basic knowledge of SQL for querying and extracting data from relational databases.

Familiarity with OLAP cube systems (e.g., multidimensional cube navigation) is a plus.

Strong analytical and critical thinking applied to healthcare data contexts.

Good communication skills to collaborate with non-technical teams.

Organized and autonomous , with a hybrid / remote work modality and openness to on-site work when system access requires it.

Shape your world and achieve together

We want the best people on our team, so we welcome and encourage applications from people with a diverse variety of experiences, backgrounds, and identities. We are committed to equality of opportunity for all. If you want to work alongside people with different ideas, in an inclusive business, that will welcome you and support you, come and co-create the future at Fujitsu.

What is in it for you?

When you join our team, you’ll be part of a supportive, expert-driven environment where your growth and well-being are priorities. We offer :

An attractive, competitive salary aligned with the role, with performance-based reviews

The option to work in a hybrid environment with flexible working hours to promote a healthy work-life balance.

Opportunities to contribute to innovative projects across diverse industries .

Continuous learning and career development, including training in top-tier tools and emerging areas.

Ample room for personal and professional growth , with the chance to build an international career.

The opportunity to work at a company recognized as a Great Place to Work , with a culture centered on people and innovation .

About Fujitsu

Since being founded in Japan in 1935, we have continued to demonstrate our technological prowess and the persistent pursuit of innovation. As a world-leading digital transformation partner, our business structure is aligned with the modern digital world. We use our experience and the power of IT to shape the future of society with our customers.

More information : level Seniority level Associate

Employment type Employment type Full-time

Job function Job function Information Technology, Consulting, and Engineering

Industries IT Services and IT Consulting, Hospitals and Health Care, and IT System Data Services

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