Data Engineer

• Chillbase
• Vacancies
• Data Engineer

Data Engineer

Department

Infrastructure

LOCATION

Limassol, Almaty, Yerevan, Tbilisi

ChillBase studio is an independent and innovative player in the gaming industry. We’re fueled by our passion for crafting outstanding products.

Our ongoing projects are in full swing, and we’re dedicated to delivering top-notch work without being tied down by a strict corporate structure.

We are looking for an experienced
Data Engineer
to help develop and maintain our data infrastructure. In this role, you will work with large-scale datasets, build and optimize data marts, maintain and improve data pipelines, and contribute to the design and evolution of our data warehouse architecture.

Apply now

Apply now

Expectations

What You Will Be Doing

• Designing data models for new entities: defining schemas, relationships, and field specifications;
• Working closely with the Analytics team to align on data requirements and business logic;
• Building and maintaining reliable ETL/ELT pipelines for data extraction, transformation, and loading;
• Writing and optimizing SQL queries for data warehouse tables and data marts;
• Resolving data ingestion issues, including debugging, validation, and data recovery;
• Creating data marts and configuring table structures, TTL, indexes, and compression settings;
• Managing data access controls, including setting up permissions and designing secure access models.

What We Want To See

• 4+ years of experience as a Data Engineer or in a similar role;
• Strong SQL proficiency, including window functions, CTEs, and query optimization;
• Solid Python skills (Pandas, Airflow operators, and data processing scripts);
• Hands-on experience with Apache Airflow 2, including writing DAGs, debugging, and monitoring;
• Deep understanding of data orchestration principles;
• Experience with ClickHouse (MergeTree family tables, TTL, indexes, JOINs, and handling large-scale aggregations);
• Familiarity with web scraping techniques and tools;
• Experience working with S3, BigQuery, and other data storage or analytics solutions.

Additional Cool-to-Have Qualifications

• Experience working closely with analytics teams and understanding their needs;
• Hands-on experience with Liquibase;
• Experience with data migration between systems (e.g., PostgreSQL to ClickHouse, S3 to BigQuery);
• Familiarity with CI/CD practices in the context of Airflow, dbt, or GitLab CI;
• Good understanding of data modeling methodologies such as Data Vault, Star Schema, and Snowflake Schema.

Benefits
Growth and development

Our project is actively growing, as well as the team that creates it. We invest in the growth of each specialist and regularly review salaries based on performance. Moreover, we have a promotion system that allows specialists to showcase their talents in more responsible positions.

Comfortable conditions

You can choose various work types: hybrid or office. Also we have flexible hours with the option of taking days off.

Care for employees

We offer sick days without salary loss, assistance in difficult life situations, no bureaucratic nightmares and processes for the sake of processes.

We carefully review every application and will definitely reach out if your profile matches the role’s requirements. If you do not receive a response within 14 calendar days, it means we are not moving forward with your application at this stage. We’d be happy to reconnect in the future — please keep an eye on our openings.

Employment process

You apply for an open role via our careers portal. We carefully review your CV and any additional materials you provide.

If your experience matches our needs, we’ll invite you for an initial conversation with a recruiter. It’s a chance to get to know each other, talk about your motivation and expectations, and share more about the role and company.

You may be asked to take part in one or more technical interviews with the team. In some cases, we might also send you a test assignment to better understand your practical skills.

A closing conversation with a hiring manager or team lead. We’ll discuss the outcomes of the previous stages, cover any remaining questions, and align on expectations.

If everything goes well — we’ll extend a job offer. Once the details are confirmed, we’ll guide you through the onboarding process and welcome you to the team.

Sounds cool?

Apply right now!!

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