Cloud Nine Digital is looking for a Senior Data Processing Consultant to help our clients achieve digital growth by building and managing data platforms and pipelines. Do you have experience with cloud infrastructure and enjoy programming in Python or SQL? Are you looking to develop your data engineering skills in a company based near Amsterdam? Then you might be the perfect fit for us!

MANDATORY QUALIFICATIONS:

• A completed Bachelor’s degree (or higher).
• Minimum of 3 years of relevant experience in roles like data engineer, data architect, or similar positions focusing on data models and infrastructure.
• Proficiency in Python (or R) and SQL.
• Knowledge of cloud infrastructure
• Experience building data pipelines and dashboards.
• Proficiency in English and ability to understand Dutch.

PREFERRED QUALIFICATIONS:

• Familiarity with tag management, web analytics, and customer data platforms (CDPs).
• Knowledge of Infrastructure as Code (IaC).
• Any technical certification for one of the big cloud providers like GCP, Azure, or AWS.

ABOUT US

Cloud Nine Digital is part of LevelUp Group, a collective of online marketing agencies with specialized expertise. Our mission is to provide the best workplace for our team and promote inclusivity and diversity in everything we do.
Cloud Nine Digital consists of data experts dedicated to helping clients succeed in the data-driven world. Whether it’s building a solid data foundation or creating new data connections, we’re the trusted partner for many organizations in need of innovative data solutions.

THE ROLE

As a Senior Data Processing Consultant at Cloud Nine Digital, you’ll build and manage data platforms, design data pipelines, prepare data models, and oversee cloud infrastructure for various clients. You’ll work closely with clients to understand their needs, provide solutions, and deliver tangible results. Together with the team, you’ll ensure high-quality digital data that clients can trust.

YOUR RESPONSIBILITIES INCLUDE:

• Implementing and guiding the use of data platforms on leading cloud providers like GCP, Azure, or AWS.
• Configuring automated data pipelines to integrate data from multiple sources.
• Setting up report-ready tables using SQL for dashboards and reports.
• Advising on the use of digital data in combination with other data sources.
• Contributing to improvement projects and innovations to enhance our services.