TL;DR

Senior Data Engineer (ETL & Data Modeling): Leading the design and optimization of critical ETL/ELT pipelines and analytics-ready data models for vast datasets. Focus on architecting robust data models, driving technical standards for data quality and governance, and optimizing cloud data platforms for performance and cost.

Location: Hybrid (Kraków, Poland)

Salary: 181,000–271,000 PLN

Company

%hirify_global% ensures accessible, secure, and compliant data infrastructure, investing in data lake technology and distributed systems to enable innovation across the organization.

What you will do

Own end-to-end complex data workflows from ingestion to curated layers, ensuring reliability and performance at scale.
Architect and optimize ETL/ELT pipelines for diverse data sources, leveraging orchestration tools (Airflow/Prefect) and transformation frameworks (dbt).
Design robust data models (dimensional schemas, SCD strategies, semantic layers) that enable high-quality analytics and reporting.
Drive technical standards for data quality, lineage, observability, and governance across engineering teams.
Mentor and guide junior engineers, fostering a culture of clean code, testing, and continuous improvement.
Lead performance tuning and cost optimization for Snowflake, Databricks, and other cloud data platforms.

Requirements

Expert-level SQL and strong Python for data engineering tasks.
Proven experience designing and operating production-grade ETL/ELT pipelines with orchestration tools (Airflow/Prefect).
Deep knowledge of dbt for transformation workflows and analytics modeling.
Hands-on experience with Snowflake and/or Databricks for large-scale data processing.
Strong understanding of data modeling principles, incremental strategies, and schema design for analytics.
Expertise in data quality frameworks, lineage tracking, and governance in multi-tenant environments.

Nice to have

Experience with Spark for distributed transformations.
Exposure to streaming ingestion (Kafka/EventHub) and real-time data processing.
Familiarity with Terraform/Pulumi for infrastructure-as-code in data engineering.

Culture & Benefits

Comprehensive health, dental, and vision plans.
Parental leave for primary and secondary caregivers.
Flexible work arrangements.
Two, week-long company breaks per year.
Long-term incentive program and training investment program.