Data Engineer

We are Boosta — a holding IT company that creates, scales, and invests in digital businesses with global potential.
- Founded in 2014
- 600+ professionals
- Hundreds of thousands of users worldwide
Boosta’s portfolio includes a wide range of successful IT products, as well as projects focused on performance marketing.
Since 2022, the company’s ecosystem has included its own investment fund, Burner, which provides funding in the formats of Private Equity and Venture Builder.

We’re looking for a Data Engineer to join our team in the iGaming industry, where real-time insights, affiliate performance, and marketing analytics are at the center of decision-making. In this role, you’ll own and scale our data infrastructure, working across affiliate integrations, product analytics, and experimentation workflows. 
Your primary responsibilities will include building and maintaining data pipelines, implementing automated data validation, integrating external data sources via APIs, and creating dashboards to monitor data quality, consistency, and reliability. 
You’ll collaborate daily with the Affiliate Management team, Product Analysts, and Data Scientists to ensure the data powering our reports and models is clean, consistent, and reliable. 

Key Responsibilities 
● Design, develop, and maintain ETL/ELT pipelines to transform raw, multi-source data into clean, analytics-ready tables in Google BigQuery, using tools such as dbt for modular SQL transformations, testing, and documentation 
● Integrate and automate affiliate data workflows, replacing manual processes in collaboration with the related stakeholders 
● Proactively monitor and manage data pipelines using tools such as Airflow, with proper alerting and retry mechanisms in place 
● Emphasize data quality, consistency, and reliability by implementing robust validation checks 
● Build a Data Consistency Dashboard (in Looker Studio, Power BI, Tableau or Grafana) to track schema mismatches, partner anomalies, and source freshness, with built-in alerts and escalation logic 
● Ensure timely availability and freshness of all critical datasets, resolving latency and reliability issues quickly and sustainably 
● Control access to cloud resources, implement data governance policies, and ensure secure, structured access across internal teams 
● Monitor and optimize data infrastructure costs, particularly related to BigQuery usage, storage, and API-based ingestion 
● Document all pipelines, dataset structures, transformation logic, and data contracts clearly to support internal alignment and knowledge sharing 
● Build and maintain postback-based ingestion pipelines to support event-level tracking and attribution across the affiliate ecosystem 
● Collaborate closely with Data Scientists and Product Analysts to deliver high-quality, structured datasets for modeling, experimentation, and KPI reporting 

Skills & Experience 
● Strong proficiency in SQL and Python
● Experience with Google BigQuery and other GCP tools (e.g., Cloud Storage, Cloud Functions, Composer) 
● Proven ability to design, deploy, and scale ETL/ELT pipelines 
● Hands-on experience integrating and automating data from various platforms 
● Familiarity with postback tracking, attribution logic, and affiliate data reconciliation 
● Skilled in orchestration tools like Airflow or similar 
● Experience with visualization tools like Looker Studio, Power BI, Tableau, or Grafana for building dashboards for data quality monitoring and business needs 
● Experience with Git for version control and Docker 
● Exposure to iGaming data structures and KPIs is a strong advantage 
● Strong sense of data ownership, documentation, and operational excellence 
● Good communication skills with different stakeholders 
● Upper-intermediate English language proficiency 

HOW IT WORKS
Stage 1: CV and short questionary
Stage 2: pre-screen with a recruiter

Stage 3: test task
Stage 4: interview.

Stage 5: final intrview
Stage 6: reference check & offer!

WHAT WE OFFER

• 28 business days of paid off
• Flexible hours and the possibility to work remotely
• Medical insurance and mental health care
• Compensation for courses, trainings
• English classes and speaking clubs
• Internal library, educational events
• Outstanding corporate parties, teambuildings