data engineer for e-commerce businesses

Creative Clicks provides performance marketing and e-commerce businesses with data infrastructure supporting reporting, financial processes, and business decision-making.

• Build, maintain, and optimize ETL and data pipelines;
• Support the development and maintenance of the data warehouse;
• Map and integrate data from internal and external sources;
• Write and improve SQL queries and stored procedures;
• Help design data structures for reporting and analytics;
• Build automated controls to monitor data quality and integrity;
• Investigate performance issues and support troubleshooting;
• Contribute to AI-enabled solutions within the data warehouse and reporting environment;
• Prepare and maintain clear technical documentation;
• Support reliable data delivery to analytical models, dashboards, and reports;
• Share ideas and learn from colleagues through technical discussions and project reviews;
• Translate business requirements into technical tasks;
• Maintain existing data structures and contribute to new data solutions.

• Bachelor’s or master’s degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field;
• Foundational knowledge of SQL, relational databases, and data modelling;
• Understanding of ETL processes and data pipelines;
• Some practical experience from employment, an internship, academic projects, or personal projects;
• Interest in cloud-based data environments and modern data engineering;
• Strong analytical and problem-solving skills;
• Attention to detail and appreciation for accurate, reliable data;
• Ability to communicate with technical and non-technical colleagues;
• Proactive attitude and willingness to ask questions, learn, and improve;
• Ability to work independently while contributing to a collaborative team;
• Applicants must currently live in the Netherlands and have authorization to work there;
• Nice to have: Microsoft Azure or another cloud platform such as AWS or Google Cloud, Microsoft SQL Server and the wider Microsoft data stack, Python or another programming language used for data processing, Power BI or another business-intelligence platform, database performance concepts such as indexing, backups, monitoring, and quality checks, AI or machine-learning capabilities within cloud or data environments, performance marketing, e-commerce, or financial reporting data.

• Competitive salary;
• NS Business Card with commuting costs fully covered;
• 25 Vacation days, plus the option to buy 10 more;
• Fresh lunch daily at the office;
• Dutch lessons covered by the company;
• Learning opportunities to expand finance and cross-departmental knowledge;
• Fast-growing, international environment with 25+ nationalities;
• Healthy work-life balance;
• No visa sponsorship or relocation support.