Senior Data Engineer (Google Cloud Platform)

Techstack; United States; Remoto; USD 140.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work options

Education courses and conferences

English language courses

20 days off and 7 sick days

Legal and accounting support

Descrizione del lavoro

Techstack is seeking a Senior Data Engineer to join the centralized Data & AI team, building scalable data foundations across operating units. You will own end-to-end pipelines on Google Cloud, collaborating with architects and engineers to deliver reusable data products.

You will design and implement ingestion, transformation, and CDC patterns using BigQuery, Dataflow, Dataform, and Cloud Composer; write Python and SQL.

Competenze

• Strong hands-on experience designing and implementing data engineering solutions on Google Cloud Platform.
• Proficiency with BigQuery and Dataflow.
• Experience with workflow orchestration, preferably Cloud Composer.
• Strong Python programming and advanced SQL.
• Experience building production-grade ETL/ELT pipelines.

Mansioni

• 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 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.
• Collaborate with the Principal Data Architect to implement architectural standards.

Conoscenze

Python

advanced SQL

Google BigQuery

Google Dataform

Change Data Capture

ETL

Descrizione del lavoro

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.

• Python
• advanced SQL
• Google BigQuery
• Google Dataform
• 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, 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.

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 havefor 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

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.