TL;DR

Senior Data Engineer (Data Science ML): Building and optimizing scalable, reliable data platforms and pipelines using cloud technologies like AWS and Snowflake with an accent on data platform foundation, reporting, analytics, and machine learning initiatives. Focus on designing fault-tolerant systems, improving data pipeline efficiency, and solving sophisticated technical challenges with leadership.

Location: Remote with hybrid model, one day a week in the office in Poland

Salary: PLN 235,000 - 353,000 per year

Company

%hirify_global% simplifies business complexity by providing customer experience software that powers billions of interactions worldwide.

What you will do

Publish well-written and tested code to production
Design and develop key features and functionality of the data platform
Investigate production issues and fine-tune data pipelines
Continuously improve data pipelines for efficiency, throughput, and data quality
Build foundational platforms for customer reporting, machine learning, and internal analytics
Collaborate on researching and brainstorming technical solutions
Solve complex problems with technical leadership and mentor others

Requirements

Location: Must be able to work hybrid with presence in Poland office one day per week
4+ years software development/data engineering experience with 3+ years building scalable data platforms or pipelines
Experience with Snowflake, DBT, Java, Python, or Scala
Experience with AWS or related cloud technologies and Kubernetes infrastructure
Strong data modeling skills and experience in high volume, high availability environments
Ability to work effectively in geographically distributed teams and interrupt-driven environments

Nice to have

Experience writing ETL jobs
Knowledge of build and deployment tools
Familiarity with Kafka, Flink, Spark, and job scheduling tools like Airflow, Celery, or AWS Step Functions

Culture & Benefits

Hybrid work model with flexibility and connection
Additional days off: Recharge Friday quarterly
In-office perks: lunches, breakfasts, massage sessions
Inclusive and diverse workplace
Commitment to fairness and transparency including AI-assisted application screening