Cloud Data Engineer (GCP)

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner. Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. 

We are looking for a Cloud Data Engineer (GCP) to lead client-facing enterprise projects while owning our core internal analytics engine. You will design scalable cloud data solutions for external clients while directly shaping Cloudfresh's internal business intelligence.

Role Overview

Client Solutions & Consulting (~70%): Architect enterprise GCP data platforms, build production pipelines, and participate in technical discovery, live demos, and solution scoping for clients.

Internal BI & Financial Analytics (~30%): Own Cloudfresh’s internal data environment—building automated pipelines and executive Looker dashboards to model our financial and operational performance.

Requirements

• Languages: Native/fluent Ukrainian and B2+ English.
• Core GCP Stack: 3+ years in Data Engineering with deep hands-on experience in BigQuery, Cloud Storage, Cloud Functions, and BigQuery ML.
• ETL/ELT Engineering: Proven experience with Dataflow, Dataproc, Pub/Sub, Cloud Composer, or Dataform for optimizing data pipelines.
• Data Modeling & Analytics: Proficiency in Looker / Looker Studio, with a knack for turning complex data into clear financial and operational metrics.
• Code & Querying: Advanced SQL (performance tuning, cost optimization) and Python (API integrations, scripting).
• Integration Experience: Comfortable integrating data across APIs, relational databases, NoSQL, and SaaS platforms.
• Client Communication: Natural ability to translate business requirements into technical architectures and deliver confident demos to client stakeholders.

Responsibilities

• Design and build modern data platforms for enterprise clients working with structured and unstructured datasets.
• Build, maintain, and optimize internal financial and operational analytics pipelines in BigQuery and Looker.
• Collaborate with the team during discovery phases to provide technical expertise, live demos, and solution scoping.
• Continuously monitor and tune BigQuery cost, scalability models, and ETL pipeline performance.
• Run workshops and deliver technical presentations to stakeholders to define and refine data architectures.
• Identify and explore new GCP features and modern AI tools to streamline analytics operations.

Work conditions

- Flexible Work Format: Work remotely with flexible hours, allowing you to balance your professional and personal life efficiently.
- Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
- International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
- Expand your expertise by engaging with international markets across the EMEA and CEE regions.
- Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.

When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.