GCP Data engineer

Huxley; Schiphol-Rijk; Hybrid; EUR 60,000 - 80,000; Full time

Job summary

A technology consulting firm in Schiphol-Rijk seeks a Cloud Data Engineer & Coach to guide the team in migrating SQL Server and data pipelines to Google Cloud Platform (GCP). This role requires strong technical skills in GCP, effective mentoring abilities, and a clear understanding of cloud governance. The ideal candidate will work on-site 1-2 days a week and must be independent while collaborating with diverse team members. Competitive compensation and a 40-hour work week are offered.

Qualifications

• Strong technical knowledge in Google Cloud Platform.
• Experience with data pipeline migrations.
• Ability to mentor team members effectively.

Responsibilities

• Lead migration of SQL Server and data to GCP.
• Coach team on GCP services and architecture.
• Establish best practices for cloud data engineering.

Skills

GCP

SQL Server

Python

Data engineering frameworks

ETL tools

Cloud governance

Collaboration

Coaching and mentoring

Tools

BigQuery

Cloud Storage

Dataflow

Job description

Huxley Schiphol-Rijk, North Holland, Netherlands

Principal Consultant @Huxley | Technology for Aviation & Tech-Platforms | Interim

For a client within aviation, we are looking for a Cloud Data Engineer & Coach to guide our team through the transition from on-premises to Google Cloud Platform (GCP). This role is crucial in supporting and upskilling our team, ensuring a smooth migration of our SQL Server and data ingestion/processing pipelines to the cloud.

The ideal candidate is both technically strong in GCP and an effective mentor, capable of explaining cloud concepts, best practices, and helping the team adopt mature, scalable, and well-governed cloud solutions.

Key Responsibilities:

• Lead and support the migration of SQL Server and data pipelines to GCP
• Coach and mentor team members on GCP services, architecture, and best practices.
• Help transition the team from a shadow-IT approach to a structured, standards-driven cloud operation.
• Provide hands‑on support for data ingestion, transformation, and processing workflows.
• Establish and document best practices for cloud data engineering.
• Strong expertise in Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, etc.).
• Experience with SQL Server, data pipeline migrations, Python and IDMC.
• Hands‑on knowledge of data engineering frameworks and ETL tools.
• Excellent coaching and mentoring skills, able to explain complex topics clearly.
• Familiarity with cloud governance, security, and operational best practices.
• Ability to work collaboratively with both technical and non‑technical team members.
• Independent, able to review one's own work.
• Start: February
• 40 hours per week
• 1‑2 days a week onsite, Schiphol area

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