Senior Data Engineer: Architect Data Platforms & Pipelines

Devleaps; Hoofddorp; On-site; EUR 90,000 - 120,000; Full time

Job summary

Dataleaps in Amsterdam is seeking a Senior Data Engineer to design and build modern data platforms and analytics foundations for clients. You will work alongside data platform engineers, analytics engineers, and infrastructure specialists to create scalable data pipelines, reliable data models, and high-quality data products.

You won't be handed in a ticket queue. You'll help shape architecture, advise clients on platform strategy, and translate ambiguous business needs into clear technical

Qualifications

• Proven experience in Data Engineering, Data Modeling or Data Platform Engineering (typically 4-6 years).
• Good understanding of Data Lakehouse architecture.
• Hands-on experience with dbt, SQL, and Python.
• Experience working with cloud platforms such as GCP, Azure, or AWS.
• Comfortable working in a client-facing or consulting environment, building trust and communicating clearly with non-technical stakeholders.
• Strong problem-solving skills and an engineering mindset.

Responsibilities

• Design, build, and maintain scalable data pipelines and data platform components.
• Develop robust data models and abstractions that enable analytics and reporting.
• Advise clients on data platform strategy and help translate business requirements into sound technical architectures.
• Implement ELT/ETL pipelines and ensure data quality across systems.
• Collaborate with analytics engineers, platform engineers, and infrastructure teams to deliver reliable, end-to-end data solutions.
• Contribute to the design and evolution of modern cloud data platforms.

Skills

Data Engineering

Data Modeling

Data Platform Engineering

Tools

dbt

SQL

Python

GCP

AWS

Azure

Job description

Dataleaps in Amsterdam is seeking a Senior Data Engineer to design and build modern data platforms and analytics foundations for clients. You will work alongside data platform engineers, analytics engineers, and infrastructure specialists to create scalable data pipelines, reliable data models, and high-quality data products.

You won't be handed in a ticket queue. You'll help shape architecture, advise clients on platform strategy, and translate ambiguous business needs into clear technical