Senior Data Engineer

Hybrid , Amsterdam, NL Local Candidates ONLY Please

A global leader in digital media is searching for a talented Senior Data Engineer to join their fast-paced team. In this high-impact role, you'll be responsible for building and maintaining scalable data infrastructure that powers decision-making across the business. This is a chance to join a company where data is at the heart of innovation, shaping everything from product development to customer experience.

You'll play a critical role in transforming how the organization collects, processes, and utilizes data empowering teams with clean, structured insights. If you're someone who thrives in a dynamic, international environment and loves solving complex data challenges, this is a unique opportunity to grow with a forward-thinking tech company.

What You'll Do:

• Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to
• collect, process, and transform data from various sources into a usable format.
• Data Warehouse Management: Manage and optimize our data warehouse to ensure high
• performance, availability, and data integrity.
• Data Integration: Integrate and consolidate data from multiple sources, including databases,
• APIs, and external data providers.
• ETL Processes: Create and maintain ETL processes to move, clean, and transform data for
• analysis and reporting purposes.
• Data Quality Assurance: Implement data quality checks and monitoring processes to identify
• and rectify data inconsistencies or anomalies.
• Performance Tuning: Monitor and optimize data pipelines and databases for performance,
• scalability, and reliability.
• Collaboration: Collaborate with data analysts, data scientists, and other stakeholders to
• understand data requirements and deliver solutions that meet their needs.
• Documentation: Maintain thorough documentation of data engineering processes,
• configurations, and best practices.

All About You:

• Proven experience in data engineering or a related role.
• Proficiency in data integration, ETL processes, and data warehousing.
• Strong programming skills in languages such as Python, PHP.
• Experience with database technologies, data modeling, and SQL query optimization.
• Familiarity with data orchestration and workflow management tools (e.g., Apache Airflow).
• Knowledge of cloud platforms (e.g., AWS, GCP) and their data services.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.

What Makes Them Great:

• Competitive salary based on your skills and experience.
• Flexible working hours and hybrid work options.
• Visa sponsorship and relocation support available.
• Informal, international work culture focused on autonomy and trust.
• Strong investment in professional development courses, conferences, and more.
• Regular social events, team lunches, and an annual company trip.