Cloud Data Engineer: Real-Time Pipelines & Lakes

Kruger NearShore LLC - Rekluti; Polska; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Kruger NearShore LLC - Rekluti is seeking a Data Engineer to design scalable data pipelines in cloud environments and to deliver robust metrics and real-time processing capabilities.

You will work with Python/Java, Airflow, DBT, Kafka or Pub/Sub, Hadoop/Spark, and SQL to turn large datasets into actionable insights for our clients.

Responsibilities

• Design and implement scalable data pipelines in cloud environments.
• Develop robust metrics, data models and dashboards for business insights.
• Build real-time processing systems with data quality checks.

Skills

Experience designing data lakes

Python/Java programming

ETL/ELT development

Airflow

DBT & data warehousing

Real-time streaming (Kafka Pub/Sub)

Big data tools (Hadoop Spark)

SQL optimization

Job description

Are you passionate about building scalable data solutions in the cloud? We’re looking for a Data Engineer with strong programming skills and hands-on experience with modern data tools to help us develop high-quality metrics, pipelines, and real-time processing systems.

📌 What You'll Bring
✅ 5+ years of experience in designing and building scalable data lakes in cloud environments.
✅ Advanced programming skills in Python or Java.
✅ Proven experience in ETL/ELT pipeline development, ideally with Airflow.
✅ Expertise in DBT and data warehouse modeling for metrics development.
✅ Solid experience working with real-time data streaming tools like Kafka or Google Pub/Sub.
✅ Hands-on experience with big data processing tools, such as Hadoop, Spark, or their GCP equivalents (e.g., Dataproc, Dataflow). ✅Advanced SQL skills – you know how to write and optimize complex queries across large datasets.