Senior Data Engineer (Google Cloud Platform)
About the product
Intro
We’re looking for a Senior Data Engineer with strong Google Cloud Platform expertise to join the centralized Data & AI team of a global organization operating across multiple business units and operating companies. The company is building scalable, reusable data engineering foundations - standardized pipelines, data products, and shared infrastructure - to support enterprise-wide data management, process automation, advanced analytics, and future AI initiatives.
The existing data infrastructure is built primarily on GCP, with BigQuery as the central data lake and analytical platform. The long-term vision is to build an internal AI Factory that delivers reusable data and AI solutions across the organization.
This is a hands-on engineering role, not a business analysis or data science position. The engagement is full-time and long-term (12+ months), with an expected start in mid-January 2027.
Technology stack
Python
advanced SQL
Google BigQuery
Google Cloud Dataflow
Google Cloud Composer
Google Dataform
Google Cloud Pub/Sub
Apache Kafka
Change Data Capture
ETL
Your team
You’ll join an established data engineering function within the centralized Data & AI team. You’ll work closely with the Principal Data Architect, who will introduce you to the existing architecture, as well as with other data engineers and business-focused AI specialists. As demand grows across operating companies, the team may expand.
Culture
We are committed to implementing high standards in the technology industry, and it is the fundamental mission of our work. To achieve this goal, the company and all its members are constantly evolving.
Each of us has the opportunity to contribute to the product, the company, the team, the industry, and our personal development. At Techstack, you have the option to choose from various growth opportunities that align with your interests:
- meetups, where you can share your knowledge and develop simultaneously by sharing your experiences within the company and local technical communities;
- roles such as a mentor or a technical lead. In any of these roles, you will assist junior professionals and share your knowledge and experiences with them.
- participation in our technical Guilds, where you can discuss technical solutions, approaches, and industry trends.
All of these elements contribute to shaping the culture and expertise within both our team and the company as a whole.
Your responsibilities
Design, implement, and maintain scalable data ingestion and transformation pipelines
Develop reusable pipeline patterns and components for use across multiple business units
Support batch, micro-batch, and streaming data processing
Build reliable ingestion processes for data from enterprise systems and external sources
Implement data cleansing, transformation, and deduplication
Develop and maintain solutions on BigQuery, Dataflow, Composer, and Dataform
Implement or support CDC pipelines for relational databases and other transactional systems
Build custom data processing components when managed services are not enough
Optimize pipelines for performance, reliability, and maintainability; troubleshoot failures and data processing issues
Support the creation of reliable datasets and data products for analytics, business applications, and AI solutions
Collaborate with the Principal Data Architect to implement architectural standards and improve existing engineering patterns
Work with teams across operating companies when centralized engineering support is needed
It's about you
Strong hands-on experience designing and implementing data engineering solutions on Google Cloud Platform
Practical experience with BigQuery and Dataflow
Experience with workflow orchestration, preferably Cloud Composer
Experience with SQL-based transformation frameworks, preferably Dataform
Strong Python programming skills and advanced SQL
Experience building production-grade ETL/ELT pipelines and reusable data ingestion and transformation components
Knowledge of data quality, cleansing, deduplication, and transformation practices
Understanding of cloud data lake architectures and enterprise data platforms
Experience with batch and near-real-time processing; understanding of event-driven architectures
Familiarity with Pub/Sub or Kafka; knowledge of CDC approaches for SQL databases
Experience integrating data from heterogeneous enterprise systems
Ability to work independently within an established engineering environment and follow architectural standards
Ability to document technical decisions and communicate engineering trade-offs
Good spoken and written English for daily communication with the client
Time zone: CET preferable; overlap with US Eastern time is a plus
Would be a plus:
Experience with managed Kafka services
Experience implementing CDC pipelines in production
Familiarity with Google Cloud Workflows
Experience designing data products consumed by AI/ML applications
Experience in enterprise environments with multiple operating companies or business units
Experience supporting shared data engineering platforms
Familiarity with infrastructure automation, CI/CD, and data pipeline monitoring
Experience contributing to enterprise AI or advanced analytics initiatives
What we have for you
Long-term engagement (12+ months) on a strategic initiative: building the data foundation of an enterprise AI Factory
Work with a modern GCP data stack and an experienced architect on the client side
Opportunities for professional and career growth through challenging tasks, meetups, hackathons, and professional communities
Horizontal connections and no micromanagement: all team members are accessible to each other for any questions
Hubs in Kharkiv, Kyiv, Lviv, and Wrocław (Poland), or everything necessary for remote work
Up to 50% compensation for educational courses and conferences
Free English and business English courses
20 days off and 7 sick days
Legal and accounting support
Appreciation gifts for significant events and occasions
How to join Techstack
Pre-screening with a Talent Acquisition Specialist
English check
Technical screening and evaluation with Techstack engineers
Interview with the client (a second interview is possible)
About us
Techstack is a technology product engineering company that sets an example for high development standards in the IT industry. We empower each team member to influence the development of the product, company, and processes.
Learn more about Techstack
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