Opis stanowiska

SUMMARY

💰 120 - 140 PLN/h (B2B)

💰 14 400 – 16 800 PLN brutto (UOP)

📍 Kraków (Hybrid - 2 days office / 3 days remote)

💼 Mid/Senior

Project

The project is part of a Data Analytics and Engineering program focused on building, optimizing, and operating scalable data pipelines to support analytics, reporting, and data-driven decision-making across the organization.

The role involves working with large datasets and distributed systems in a cloud-based environment, integrating data from multiple internal and external sources, and ensuring high performance, reliability, and data quality.

You will

Design, build, and maintain efficient data pipelines for collecting, transforming, and storing data
Integrate data from various sources, including cloud platforms (Google Cloud), SQL/NoSQL databases, APIs, and external services.
Optimize and troubleshoot existing pipelines to ensure high performance and reliability.
Implement ETL processes to transform raw data into analytics-ready datasets.
Collaborate with cross-functional teams (data engineering, operations) to understand data requirements and deliver solutions.
Support data applications when required during weekends or non-office hours
Build scalable, automated workflows capable of processing large data volumes with low latency.
Set up monitoring and alerting for data pipelines to minimize downtime
Create and maintain technical documentation for data flows and pipeline configurations

Must have

4+ years of experience as a Data Engineer, Dataflow Engineer, or in a similar role working with large-scale data systems
Strong programming skills in Python and Java
Hands-on experience with data pipeline orchestration tools (e.g., Google Dataflow)
Solid experience with Google Cloud Platform, including BigQuery and Dataflow
Strong background in ETL frameworks, real-time data streaming, and data processing
Experience with SQL and NoSQL databases
Knowledge of data governance, data quality, and data security best practices
Strong problem-solving and troubleshooting skills
Fluent English and Polish

Nice to have

Experience with additional cloud services or multi-cloud environments
Familiarity with data formats such as JSON, Parquet, or similar
Experience building highly available, low-latency data pipelines
Exposure to on-call or out-of-hours support models
Strong communication skills and experience working with both technical and non-technical stakeholders

Our offer

Relocation package (4500 PLN total value), paid in three installments (1500 PLN per month) in case your permanent presence in the office is mandatory, and you need to relocate from another city.
Benefits: Extended medical care (over 2000 medical facilities in Poland, 80 in Kraków) for you and your family; Multisport Benefit card; life insurance

Data Specialist

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