Data Engineer

Infinite Services Inc.; Polska; Hybrid; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Certification & training budget

Flexible remote or hybrid work model

Private medical care

Sports card

Learning and development opportunities

Collaborative, expert-led environment

Work on international projects

Job summary

Infinite Services Inc. is seeking a Senior Snowflake Data Engineer to join a high-impact project for a global manufacturing enterprise.

You will own and scale the data pipeline framework processing telemetry data from facilities, making architectural decisions and driving reliability. You will collaborate with Product Owners and architects to onboard new sources, optimize pipelines for performance and cost, and build observability and data products for the Data Science team.

Qualifications

• 5+ years hands-on Snowflake in production environments.
• Advanced proficiency with Snowflake data engineering (stages, Snowpipe, streams, tasks, SPs, dynamic tables).
• Strong SnowflakeSQL skills, with ingestion and semi-structured data (JSON, XML).
• Experience with performance tuning and cost governance tooling in Snowflake.
• Knowledge of Azure integration patterns and CI/CD for data pipelines.

Responsibilities

• Design and implement automated onboarding for new data sources (manufacturing plants), including external stage configuration, notification integrations and data ingestion setup with automated validation tests.
• Review and optimize the existing pipeline for performance and cost efficiency.
• Build cost tracking and chargeback tooling enabling cost attribution per factory and per data source.
• Implement a data observability and audit layer covering ingestion errors, processing latency, data volume anomalies and SLA breaches, with operational alerting.
• Design and deliver new data products for the Data Science team, with appropriate access controls.
• Maintain and evolve the technical backlog - proactively proposing pipeline improvements, evaluating new Snowflake capabilities, and contributing to the platform roadmap alongside Product Owners and architects.

Skills

Snowflake in production

Snowflake data engineering

SnowflakeSQL

Azure integration

CI/CD for data pipelines

Git

Terraform

SchemaChange

Data pipeline reliability

Data observability

Tools

Snowflake platform

Snowpark (Python)

Streamlit

SnowflakeML / Cortex AI

dbt

IoT / time-series data

Job description

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 a SeniorSnowflakeData Engineer to join a high-impact project for ourglobal enterprisecustomer (manufacturing industry). You will be a key contributor to scaling, optimizing, and evolvingdata pipeline framework that processes telemetry data (IoT) from manufacturing facilities. Theframeworkis post-pilot and moving into full production- you will be taking ownership of a working solution and driving it to the next level of maturity, reliabilityand scale. This is a hands‑on engineering role with significant ownership: you will be expected to propose, agree and make architectural decisions, proactively identify improvement opportunities and shape the technical roadmap, not just execute on specifications. The ideal candidate combines deepSnowflakeexpertise with a cost-conscious mindset and a track record of building observable, maintainable data pipelinesinSnowflake(and - optionally - Azure).

Key responsibilities

• Design and implement an automated onboarding process for new data sources (manufacturing plants), including external stage configuration, notification integrationsanddata ingestionsetup- with automated validation tests to verify each new integration.


• Review and optimize the existing pipeline for performance and cost efficiency.


• Build cost tracking and chargeback tooling- enabling cost attribution per factory and per data source.


• Implement a data observability and audit layer covering ingestion errors, processing latency, data volume anomalies and SLA breaches, with operational alerting.


• Design and deliver new dataproductsfor the Data Science team, with appropriate access controls separating data across facilities.


• Maintain and evolve the technical backlog - proactively proposing pipeline improvements, evaluating newSnowflakecapabilities, and contributing to the platform roadmap alongside Product Owners and architects.

Must-have skills and experience

• 5+ years of hands-on experience withSnowflakein production environments


• Advanced proficiency withSnowflakedata engineering(stages,Snowpipe,streams,tasks, stored procedures, dynamic tables).


• StrongSnowflakeSQL skills, including data ingestion (intelligent ingestion using COPY INTO) and working with semi-structured data formats (JSON, XML).


• Practical experience withSnowflakeperformance tuning: Query Profile, clustering keys, materialized views and warehouse configuration.


• Familiarity withSnowflakecost governance tooling:account usage views, Resource Monitors, Bugdets, tag-based cost management.


• Solid understanding ofMicrosoftAzure integration patterns relevant toSnowflake.


• Experience designing pipelines with reliabilityand automationin mind: metadata-driven pipelines, idempotency, error handling, reprocessing strategies, data freshness SLAs.


• Hands-on experience with version control and CI/CD for data pipelines (Git and at least one of: Terraform, SchemaChange or equivalent IaC tooling forSnowflakeobjects).


• Ability to critically evaluate, challenge and simplify existingsolutions and architectures- not just extend them.

Nice-to-have skills and experience

• Experience building operational dashboards with Streamlit inSnowflake.


• Experience with Snowpark (Python) for custom transformation logic withinSnowflake.


• Exposure toSnowflakeML FunctionsorCortex AI for data quality and observability use cases.


• Background working with IoT, industrial telemetry or time-series data patterns.


• Prior projects for manufacturing, regulated industries, or large global enterprises.


• Familiarity with dbtas a transformation layer.

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