🕒 3 days ago
Build and own modern data foundations, from source audits and migration planning to Snowflake and dbt modelling, identity resolution, and activation pipelines for customer engagement platforms.
Senior Data Engineer
📅 Dec 16, 2024
PythonSQLApache AirflowDbt
📜 Description
- Design, build, and maintain scalable data pipelines and workflows using Python, SQL, Airflow, and dbt.
- Develop cloud-based data solutions, primarily in GCP, while working with modern data architectures and modeling practices.
- Design technical architectures and translate business and product needs into scalable technical solutions.
- Develop clean, maintainable, and testable code using strong engineering and testing practices.
- Collaborate closely with product, data, engineering, and business stakeholders to define requirements and coordinate technical topics.
- Take ownership of solutions while aligning with technical peers and proactively contributing to team improvements.
🛠️ Requirements
- 5–7 years of Data Engineering experience in complex, fast-paced environments.
- Strong hands-on experience with Python and SQL.
- Strong experience with Apache Airflow or similar workflow orchestration tools.
- Experience with dbt or similar data transformation and modeling tools.
- Experience with GCP is preferred; strong Azure or AWS experience is also considered.
- Strong knowledge of data modeling, data transformation, and architecture design.
- Experience building clean, maintainable, production-grade code with appropriate testing strategies.
- Experience with data analysis workflows using Polars, Pandas, or similar libraries.
✨ Benefits
- Currently living in the Netherlands and eligible to work in the Netherlands.
- Competitive Compensation: Salary tailored to your skills and experience.
- Generous Time Off: 25 paid vacation days (based on a 40-hour work week).
- Tax Benefits: Eligibility for the 30% ruling.
- Travel Reimbursement: We've got your daily commute covered.
- Top-Notch Equipment: A high-quality device to ensure you work efficiently.
- Professional Development: Financial support for certifications
- Technical training
- Comprehensive Relocation Assistance: Extensive support to help you settle in smoothly.
- Community & Fun: Enjoy team events and connect with developers from around the globe!
Full job description
Are you a Data Engineer who thrives on building robust, scalable, and secure data platforms in the cloud? Join the Data Chapter at Wypoon Technologies, where we match top-tier engineering talent with impactful opportunities across the Netherlands. You’ll help design and deliver end-to-end data solutions for leading organizations, working with cutting-edge technologies across Azure, GCP and hybrid environments.
From building real-time streaming pipelines to implementing modern lakehouse architectures, your expertise will directly contribute to data-driven innovation in sectors like finance, ecommerce, energy, logistics, and technology. Whether you’re passionate about big data processing, cloud infrastructure, or data automation, our goal is to connect you with projects that match your skills and ambitions.
Why Join Us?
At Wypoon Technologies, you’ll work on dynamic projects for industry leaders such as Heineken, ING, ASML, Philips, and Shell, tackling exciting challenges and delivering tailored enterprise solutions.
Here’s what makes us stand out:
✔ Impactful Work: Shape the future of our clients’ digital landscapes.
✔ Innovative Environment: Collaborate within a supportive team that values learning and growth.
✔ State-of-the-art technology: Access the latest tools and platforms.
Key Responsibilities
- Design, build, and maintain scalable data pipelines and workflows using Python, SQL, Airflow, and dbt.
- Develop cloud-based data solutions, primarily in GCP, while working with modern data architectures and modeling practices.
- Design technical architectures and translate business and product needs into scalable technical solutions.
- Develop clean, maintainable, and testable code using strong engineering and testing practices.
- Collaborate closely with product, data, engineering, and business stakeholders to define requirements and coordinate technical topics.
- Take ownership of solutions while aligning with technical peers and proactively contributing to team improvements.
Requirements
- 5–7 years of Data Engineering experience in complex, fast-paced environments.
- Strong hands-on experience with Python and SQL.
- Strong experience with Apache Airflow or similar workflow orchestration tools.
- Experience with dbt or similar data transformation and modeling tools.
- Experience with GCP is preferred; strong Azure or AWS experience is also considered.
- Strong knowledge of data modeling, data transformation, and architecture design.
- Experience building clean, maintainable, production-grade code with appropriate testing strategies.
- Experience with data analysis workflows using Polars, Pandas, or similar libraries.
- Strong ability to translate business and product requirements into technical designs.
- Comfortable with context switching, independent ownership, stakeholder collaboration, and working in a product-oriented environment.
What We Offer
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