Junior Data Engineer

We are looking for a Junior Data Engineer who is eager to learn, grow, and contribute to the development of a reliable and well-structured data platform. You will work closely with the Lead Data Engineer to support data pipelines, documentation, data quality processes, and the overall stability of our data environment (Python, SQL, Airflow, dbt, BigQuery, ClickHouse).

This role is perfect for someone who already has basic technical foundations and wants to evolve into a full Data Engineer by working on production-grade systems, best practices, and real business data workflows.

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Key Responsibilities

• Support the development and maintenance of ETL/ELT pipelines.
• Assist in ingesting, transforming, and loading data into our data warehouse.
• Help implement monitoring and alerting for pipeline health and data quality.
• Contribute to basic data validation checks and anomaly detection processes.
• Support the maintenance of schemas, partitioning, and data structures.
• Write and update documentation for pipelines, workflows, and data models.
• Troubleshoot simple pipeline or data issues with guidance from senior engineers.
• Collaborate with analysts and other stakeholders to understand data needs.
• Participate in improving the reliability and observability of the data platform.

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Qualifications

• Basic Python skills for data processing, scripting, and automation.
• Strong foundational SQL skills and willingness to improve.
• Familiarity with cloud data warehouses (BigQuery or ClickHouse is a plus).
• Introductory experience with DBT (models, tests, documentation).
• Basic understanding of workflow orchestration tools such as Airflow.
• Attention to detail and ability to follow engineering best practices.
• Willingness to learn monitoring, alerting, and data quality frameworks.
• Ability to write clear and simple documentation.
• Curiosity, problem-solving attitude, and desire to grow into a mid-level/senior Data Engineer.