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GCP Data Engineer


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The person we are looking for will become part of Data Science and AI Competency 

Center working in AI Engineering team. The key duties are: 

  • Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment.

  • Working with Data Science teams to implement Machine Learning and statistical models into production.

  • Practical and innovative implementations of ML/AI automation, for scale and efficiency. 

  • Design, delivery and management of industrialized processing pipelines.

  • Defining and implementing best practices in ML models life cycle and ML operations. 

  • Implementing AI/MLOps frameworks and supporting Data Science teams in best practices.

  • Gathering and applying knowledge on modern techniques, tools and frameworks in the area of ML Architecture and Operations.

  • Gathering technical requirements & estimating planned work.

  • Presenting solutions, concepts and results to internal and external clients.

  • Creating technical documentation

  • At least 4 years of experience as a Data Engineer, including min. 3 years of experience working with GCP cloud-based infrastructure & systems.

  • Strong knowledge in cloud computing platforms - Google Cloud - Candidate should be able to design, build, and deploy data pipelines and applications in the cloud. • Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.

  • Proficient in database management systems such as SQL (Big Query is a must), NoSQL,. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.

  • Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.

  • Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.

  • Programming skills (SQL, Python, other scripting).

  • Tools knowledge: Git, Jira, Confluence, etc.,

  • Open to learn new technologies and solutions.

  • Experience in multinational environment.

Nice to have:
  • Certifications in big data technologies or/and cloud platforms. 

  • Experience with BI solutions (e.g. Tableau). 

  • Experience with Azure cloud-based infrastructure & systems. 

  • Experience with ETL tools: e.g. Talend, Alteryx. 

  • Experience working in distributed teams. 

  • Languages- English (C2 minimum) – contact with customers in US/EUROPE/APAC

We Offer:
  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

  • 100% remote.

  • Flexibility regarding working hours.

  • Full-time position

  • 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. Lingarians earn 500+ technology certificates yearly.

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Grow as we grow as a company. 76% of our managers are internal promotions.

  • A diverse, inclusive, and values-driven community.

  • Autonomy to choose the way you work. We trust your ideas.

  • Create our community together. Refer your friends to receive bonuses.

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.


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