Senior Data Engineer: Build Scalable Data Platforms & DataOps

airSlate; Wrocław; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Stock options

Flexible working environment

Health benefits

Mental Health Days

Family-friendly culture

Learning opportunities

Charitable initiatives

Job summary

airSlate is hiring a data engineer to maintain and expand our data platform, building scalable pipelines from internal apps and SaaS sources. You will write clean code, uphold data quality, and collaborate to support analytics and growth. The role emphasizes DataOps practices and enterprise data modeling.

Join a global team with hybrid/remote options and a strong commitment to learning, security, and inclusive culture across continents.

Qualifications

• Experience building data platforms and pipelines with scalable design.
• Proficiency in Python/Scala/Java for data engineering tasks.
• Familiarity with Spark, Flink, Beam and orchestration tools.
• Knowledge of SQL/NoSQL databases and data modeling.
• Ability to write clear documentation and maintain code quality.

Responsibilities

• Maintain data platform with timely, high quality data.
• Plan and extend data platform to support growth and analytics.
• Build and maintain data pipelines from internal sources.
• Write maintainable, performant code and documentation.
• Apply DataOps and design the enterprise data model.

Skills

Python/Scala/Java

Data Processing (Spark/Flink/Beam)

Message Brokers & streaming

SQL/NoSQL databases

Data Dev Principles

CI/CD

DataOps/Data Lake concepts

Documentation writing

Cloud platforms (AWS/GCP/Azure)

Data Modeling/Algorithms

Data Pipelines & ETL design

Tools

Git

Docker

Kubernetes

Jira

Airflow/NiFi

MWAA

S3/AWS services

Job description

airSlate is hiring a data engineer to maintain and expand our data platform, building scalable pipelines from internal apps and SaaS sources. You will write clean code, uphold data quality, and collaborate to support analytics and growth. The role emphasizes DataOps practices and enterprise data modeling.

Join a global team with hybrid/remote options and a strong commitment to learning, security, and inclusive culture across continents.