Data Engineer

Summary

Join Jooble, a global technology company, and become a Data Engineer. Design, build, and maintain robust ETL/ELT pipelines, ensuring data quality and observability through automated checks and monitoring. Optimize data processing, automate tasks, and contribute to data governance. You will work with various databases (PostgreSQL, MSSQL, etc.) and technologies (Airflow, Dagster, Kafka). Jooble offers a flexible work environment with hybrid options and remote work, along with comprehensive benefits including health insurance, paid time off, and professional development opportunities.

Requirements

• Experience: 1-3 years of hands-on experience in a data engineering role
• Ukrainian proficiency level: Upper Intermediate and higher (spoken and written)
• Strong proficiency in SQL (including complex queries and optimization) and Python for data processing
• Practical experience with relational databases, specifically PostgreSQL and MSSQL
• Proven experience designing and building pipelines using modern data orchestrators like Airflow or Dagster
• A solid understanding of data warehousing concepts and data modeling techniques (e.g., dimensional modeling)

Responsibilities

• Develop, and maintain robust and scalable ETL/ELT pipelines, moving data from diverse sources into our data warehouse
• Implement a comprehensive data observability strategy, including automated quality checks, monitoring, and lineage tracking to ensure data is accurate and trustworthy
• Write clean, efficient code to automate data processing and continuously optimize our data storage strategies and query performance
• Contribute to our data governance practices and maintain clear documentation for data processes, models, and architecture in our data catalog

Preferred Qualifications

• Hands-on experience with streaming technologies like Kafka , Debezium , or message queues like RabbitMQ
• Experience with MPP databases ( Greenplum/CloudberryDB ) or columnar stores ( ClickHouse )
• Familiarity with tools like dbt , Docker
• Basic knowledge of a cloud platform like AWS, GCP, or Azure
• A demonstrable interest in the fields of AI and Machine Learning

Benefits

• We offer a hybrid format in Kyiv and remote options worldwide
• Start your 8-hour workday between 8:00 and 10:00 AM Kyiv time, ensuring collaboration across our team in 20+ countries
• We provide all the equipment you need for productivity and comfort, whether remotely or in the office
• We invest in your future with an individual education budget covering soft and hard skills
• Career opportunities and regular performance reviews support your growth from entry-level to leadership roles
• We offer health insurance after three months, plus financial support for medical expenses abroad
• Our mental health benefits include access to psychological consultations and 50% reimbursement for therapy sessions
• Enjoy 24 vacation days, 20 paid sick days, 4 extra sick days without a medical certificate, and 6 recharge days