Senior Data Engineer
💻 100% remote
📍 Location: Poland
📅 Full-time engagement (long-term cooperation preferred)
Join a team that builds modern data platforms for global organizations
We are an IT services company specializing in designing and delivering advanced data and cloud solutions for enterprise clients worldwide. Our teams help organizations transform data into business value through scalable platforms, automation, and modern analytics ecosystems.
What makes us different?
👉 A team of experienced consultants and engineers working on complex, international projects
👉 Real ownership of cloud, data, and MLOps environments
👉 Focus on innovation, automation, and engineering best practices
👉 Collaborative culture built on knowledge sharing and continuous improvement
Join Infinite Services and help shape modern data ecosystems that empower analytics, machine learning, and business decision-making. You'll work with cutting-edge technologies while enjoying flexibility, autonomy, and a healthy work-life balance.
About the Role
We are looking for an experienced Senior Snowflake Data Engineer to join a strategic project for a global enterprise customer in the manufacturing industry.
In this role, you will take ownership of a production-ready data platform responsible for processing telemetry (IoT) data from manufacturing facilities worldwide. You will combine deep expertise in Snowflake Data Engineering, data pipeline architecture, and cloud integration to design, optimize, and evolve scalable, cost-efficient, and highly observable data solutions.
This is a senior, hands-on engineering role with significant ownership. You will actively influence the technical direction of the platform, propose architectural improvements, optimize existing solutions, and collaborate closely with Product Owners, Architects, and Data Science teams.
What you'll do
Design and implement automated onboarding processes for new manufacturing plants and data sources, including external stages, notification integrations, ingestion pipelines, and automated validation testing
Design, build, and optimize scalable data ingestion and transformation pipelines using Snowflake SQL and Azure integration capabilities
Review and optimize existing Snowflake pipelines for performance, scalability, reliability, and cost efficiency
Develop cost monitoring and chargeback mechanisms to enable cost attribution by manufacturing facility and data source
Design and implement data observability and auditing capabilities, including monitoring of ingestion failures, processing latency, data quality, volume anomalies, and SLA compliance
Build and deliver secure data products supporting Data Science and Analytics teams while implementing appropriate access controls
Maintain and continuously improve the technical backlog by identifying optimization opportunities and evaluating new Snowflake capabilities
Contribute to architectural decisions and drive engineering best practices across the platform
Collaborate closely with Product Owners, Architects, Data Scientists, and business stakeholders to deliver high-quality data solutions
What we're looking for
5+ years of hands-on experience in Data Engineering with strong expertise in Snowflake
Advanced practical experience with Snowflake features including Stages, Snowpipe, Streams, Tasks, Stored Procedures, and Dynamic Tables
Strong SQL skills, including experience with semi-structured data (JSON, XML) and data ingestion using COPY INTO
Proven experience optimizing Snowflake performance using Query Profile, Clustering Keys, Materialized Views, and Warehouse configuration
Experience with Snowflake cost optimization and governance, including Account Usage Views, Resource Monitors, Budgets, and tag-based cost management
Solid understanding of Microsoft Azure services and integration patterns with Snowflake
Experience designing reliable, automated, and metadata-driven data pipelines with robust error handling, idempotency, reprocessing strategies, and data freshness SLAs
Hands-on experience with Git-based development workflows and CI/CD for Snowflake deployments using Terraform, SchemaChange, or similar Infrastructure as Code solutions
Strong analytical and problem-solving skills with the ability to evaluate, simplify, and improve existing architectures rather than only extending them
Ability to work independently while effectively collaborating within international teams
Nice to have
Experience building operational dashboards using Streamlit in Snowflake
Experience with Snowpark (Python) for implementing custom transformation logic
Familiarity with Snowflake ML Functions or Cortex AI
Experience working with IoT, industrial telemetry, or time-series data
Experience delivering solutions for manufacturing, regulated industries, or large global enterprises
Familiarity with dbt as a transformation framework
What's in it for you?
✨ Certification & training budget to support your growth
🏡 Flexible work model — remote or hybrid, your choice
🏥 Access to private medical care & sports card
📚 Additional learning and development opportunities
🤝 Supportive, knowledge-sharing environment with senior experts
🚀 Opportunity to work on impactful, international projects with modern technologies
Hiring process — simple & transparent
Quick HR call to get to know you
Technical interview with a Manager or Architect
Feedback & next steps