We are inviting you to join us!

We are one of the biggest telco groups in the Baltics. By being a trusted innovation partner with our solid experience in the dynamic telco market, investments and a team of more than 1000 professionals, we ensure modern, high-quality and customer-friendly services for our clients. We are big fans of continuous development and growth.

This role focuses on innovation, technical proficiency, and collaboration to deliver advanced solutions that fulfill our requirements. You will join a diverse team of data engineers skilled in network, finance, and marketing data. They are adept at analyzing, structuring, and recommending optimal solutions for data that aligns with our business needs.

Your main task will be:

• Ensure data quality and integrity through data governance best practices, including validation, transformation, and security protocols, using technologies such as PySpark, Impala, Hive, HDFS, ClickHouse, Zabbix, and Airflow.
• Work closely with business and technology representatives to gather functional and technical requirements.
• Contribute to engineering best practices, standards, and architectural approaches within the data ecosystem.
• Collaborate with the project management team to develop the overall implementation solution plan and actively contribute to project life cycle phases, leveraging technologies like PySpark and Airflow.
• Stay updated on the latest technology trends, particularly in the areas of data platforms, focusing on technologies such as PySpark, Impala, Hive, HDFS, ClickHouse, and Zabbix.
• Continuously monitor and improve the performance of data systems to ensure they are optimized for speed, reliability, and scalability, utilizing technologies like PySpark and HDFS.

Job Requirements

• 1+ years of data engineering or similar technical experience.
• Proficiency in PySpark, Python, Linux, HDFS, Elasticsearch, ClickHouse, and various SQL databases.
• Experience with AWS and NiFi is a plus.
• Knowledge of SQL and ETL processes with tools such as Apache Airflow.
• Strong analytical and problem-solving skills.
• Experience with version control systems like Git.
• Understanding of data quality assurance and governance best practices.
• Willingness to learn and adapt to new technologies and industry trends in data engineering.

BITĖ offers the following benefits:

• Have freedom to implement best ideas
• Be a part of an inspiring working culture that values high standards
• Be an owner of your flexible working hours and results
• Have FUN at team building activities and workshops
• Personal phone with unlimited calls, sms and internet, mobile portable internet, Go3 TV on your phone and TV
• Additional health and accident insurances, accumulation of tier III pensions
• Benefit from other motivational perks such as healthy snacks and fruits, coffee, team lunches and much more!

Gross salary 2000-3900 EUR/month