Key Skills

Job Description

Job Title: Data Engineer Industry: Information Technology (IT) & Data Services Company: IT Solutions Worldwide (On behalf of a premier client) Location: Rotterdam (On-site) Employment Type: Full-Time About IT Solutions Worldwide IT Solutions Worldwide is an international talent acquisition and workforce deployment consultancy. On behalf of our premier client in the Netherlands, we are seeking a highly skilled and dedicated Data Engineer. Our client is an established, forward-thinking enterprise within the IT and Data sector that leverages advanced data architectures to drive strategic decision-making and digital innovation across the European market. This position requires a physical on-site presence at our client's Netherlands facility and direct collaboration with local cross-functional business and technical teams. Role Overview As a Data Engineer, you will be the foundational builder of our client's data strategy. You will be responsible for designing, constructing, testing, and maintaining highly scalable data management systems and processing pipelines. Operating within an Agile/Scrum environment, you will work closely on-site with data architects, software developers, and business stakeholders to ensure that raw data is transformed into reliable, structured, and accessible formats for advanced analytics and business intelligence. Key Responsibilities · Pipeline Architecture: Design, build, and maintain highly scalable, secure, and resilient data pipelines and ETL/ELT architectures. · Data Integration: Extract complex datasets from multiple disparate sources (REST APIs, relational databases, flat files, third-party platforms) and load them into enterprise Data Lakes and Data Warehouses (e.g., Snowflake, Databricks, Azure Synapse, AWS Redshift, or Google BigQuery). · Data Transformation: Write complex, highly optimized SQL queries and robust Python, Scala, or Java scripts for data transformation, cleansing, and wrangling. · Orchestration & CI/CD: Implement and manage data orchestration and workflow automation tools (e.g., Apache Airflow, dbt) and ensure continuous data quality, governance, and CI/CD for all data workflows. · Infrastructure Optimization: Monitor pipeline performance, troubleshoot data bottlenecks, and optimize database architectures to ensure high throughput and low latency. · Collaboration: Work directly with Data Scientists and BI Developers to prepare custom datasets required for machine learning models and executive dashboards. Mandatory Candidate Requirements · Language Proficiency: Professional, fluent proficiency in Dutch (spoken and written) is mandatory (minimum CEFR B2/C1 level). Candidates must be able to conduct all day-to-day work, elicit requirements from local stakeholders, write technical documentation, and collaborate cross-functionally entirely in Dutch. Professional working proficiency in English is also required. · Work Arrangement: 100% On-site. Candidates must work full-time at the client’s designated location in the Netherlands. Hybrid or remote arrangements are not offered for this role. · Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related technical field. · Experience: Minimum of 3 to 5+ years of demonstrable commercial experience specifically in data engineering, building production-grade data pipelines. · Core Competencies: Advanced proficiency in SQL and Python/Scala. Deep understanding of relational (PostgreSQL, MySQL) and non-relational (MongoDB, Cassandra, Redis) databases, as well as dimensional modeling (Star/Snowflake schemas). · Work Authorization: Must be legally eligible to work in the Netherlands, or qualify for the Dutch Highly Skilled Migrant (Kennismigrant) scheme.

Core Responsibilities

Design, build, test, and maintain scalable data pipelines and ETL/ELT architectures, integrating and transforming data from multiple sources into enterprise data lakes and warehouses. Orchestrate and optimize data workflows, ensure data quality and governance, and collaborate with data scientists, BI developers, architects, and business stakeholders.

Requirements

Requires a bachelor's or master's degree in a relevant technical field and 3 to 5+ years of commercial data engineering experience. Candidates must have professional fluency in Dutch, working proficiency in English, advanced SQL and Python or Scala skills, database and dimensional modeling knowledge, and eligibility to work in the Netherlands.