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Gcp Data Engineer- Lead Consultant

· Job Posted February 18, 2026
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Job Responsibility

  • Part of the team accountable for design, model and development of whole GCP data ecosystem for one of our Client’s (Cloud Storage, Cloud Functions, BigQuery)
  • Involvement throughout the whole process starting with the gathering, analyzing, modelling, and documenting business/technical requirements
  • The role will include direct contact with clients
  • Modelling the data from various sources and technologies
  • Troubleshooting and supporting the most complex and high impact problems, to deliver new features and functionalities
  • Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems
  • Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval
  • Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency
  • Identifying and resolving issues related to data processing, storage, or infrastructure
  • Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations
  • Train and mentor less experienced data engineers, providing guidance and knowledge transfer

Requirements

  • At least 7+ years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems
  • Deep knowledge of Google Cloud Platform and cloud computing services
  • Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms
  • Proficient in database management systems such as SQL (Big Query is a must), NoSQL
  • Programming skills (SQL, Python, other scripting)
  • Proficient in data modeling techniques and database optimization
  • Knowledge of at least one orchestration and scheduling tool (Airflow is a must)
  • Experience with data integration tools and techniques, such as ETL and ELT
  • Knowledge of modern data transformation tools (such as DBT, Dataform)
  • Excellent communication skills
  • Ability to actively participate/lead discussions with clients
  • Tools knowledge: Git, Jira, Confluence, etc
  • Open to learn new technologies and solutions
  • Experience in multinational environment and distributed teams

Nice to have

  • Certifications in big data technologies or/and cloud platforms
  • Experience with BI solutions (e.g. Looker, Power BI, Tableau)
  • Experience with ETL tools: e.g. Talend, Alteryx
  • Experience with Apache Spark, especially in GCP environment
  • Experience with Databricks
  • Experience with Azure cloud-based infrastructure & systems

What we offer

  • Stable employment
  • “Office as an option” model
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

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