Data Engineer — Hybrid (Poland) | SQL, Spark & Pipelines

Jit Team; Województwo pomorskie; Hybrid; PLN 202,950 - 267,525; Full time

Benefits offered by this job

Flexible work organization

Integration meetings

Training opportunities financed by Jit

Job summary

Join Jit Team in Poland as a Data Engineer for a dynamic financial project focused on developing reporting solutions. You will design scalable data processing pipelines, translate complex business requirements into SQL, and cooperate with Production Assurance. This role offers a hybrid work model and exposure to international teams.

Expect a flexible work organization within a Scandinavian culture that promotes work-life balance and provides opportunities for training. Ideal candidates have extensive experience in data engineering, SQL proficiency, and strong communication skills.

Qualifications

• Extensive experience in data engineering and distributed data processing.
• Proficiency in translating complex requirements to executable SQL.
• Strong communication skills for bridging technical and business perspectives.

Responsibilities

• Design and implement scalable data processing pipelines.
• Translate business requirements into robust SQL queries.
• Provide L3 support and cooperate with Production Assurance.
• Communicate technical issues and solutions effectively to business stakeholders.

Skills

Data engineering

Distributed data processing

SQL proficiency

Communication skills

L3 support experience

Tools

Apache Hadoop

Apache Spark

CI/CD pipelines (Git, Jenkins)

Workflow orchestration tools (Oozie, Airflow)

Kafka

Kubernetes

Apache Flink

Job description

Join Jit Team in Poland as a Data Engineer for a dynamic financial project focused on developing reporting solutions. You will design scalable data processing pipelines, translate complex business requirements into SQL, and cooperate with Production Assurance. This role offers a hybrid work model and exposure to international teams.

Expect a flexible work organization within a Scandinavian culture that promotes work-life balance and provides opportunities for training. Ideal candidates have extensive experience in data engineering, SQL proficiency, and strong communication skills.