About the role

Job Purpose:
We are seeking a highly skilled and motivated Data Analytics & Engineering Specialist to join our team at Fugro. This hybrid role combines advanced data analysis with robust data engineering capabilities. You will be responsible for designing and maintaining data pipelines, interpreting and analyzing structured and semi-structured data, and generating actionable insights that inform strategic business decisions. You will play a key role in building scalable data solutions, applying statistical and machine learning techniques, and collaborating with stakeholders to foster a data-driven culture across the organization.

Key Responsibilities:
Data Engineering & Architecture
• Design, develop, and maintain efficient ETL/ELT pipelines for ingesting and transforming large datasets.
• Optimize data storage and retrieval in cloud or on-prem environments
• Ensure data integrity, security, and compliance across all systems. Advanced Analytics
• Apply statistical and predictive modeling techniques to uncover trends, correlations, and business opportunities.
• Perform hypothesis testing, regression analysis, and develop forecasting models. Visualization & Reporting
• Build interactive dashboards and reports using tools like Power BI, Tableau, or similar.

• Present complex insights in a clear, actionable format for technical and non- technical stakeholders.

Collaboration & Stakeholder Engagement
• Partner with cross-functional teams to understand data needs and deliver
tailored solutions.
• Provide training and mentorship on data tools and best practices.

Quality & Process Improvement
• Monitor and improve data quality, implementing automation and process
enhancements.

• Identify opportunities for workflow optimization and data-driven decision-
making.

Required Experience & Skills:
• Education: Bachelor’s or master’s degree in computer science, Data Science,
Statistics, or related field.
• Experience: 5+ years in data analytics and engineering roles.
Technical Skills:
o Proficiency in SQL, Python, and/or R for data manipulation and analysis.
o Experience with data pipeline frameworks and cloud platforms
• Visualization Tools: Power BI, Tableau, or similar.
• Statistical Tools: Knowledge of statistical packages and libraries.
• Soft Skills: Strong problem-solving, critical thinking, and communication skills.
• Project Management: Ability to manage data projects end-to-end.

Preferred Certifications: Advanced certifications in Data Engineering, Data
Analytics, or Cloud Platforms. ITIL or ITSM certifications are a plus.