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Роль хорошо определена с солидным стеком технологий, но отсутствие информации о зарплате является недостатком. Компания предлагает отличные возможности для роста и современную рабочую среду.
Зарплата не указанаСильный потенциал ростаСовременная рабочая средаЧеткие обязанностиПродуктовая компания
AI Data Engineer (iGaming products)
Company: Citrus
Relocation to Belgrade is required
Key Responsibilities:
- Design & implement a scalable and maintainable Data Warehouse architecture that consolidates data from all departments and platforms.
- Evaluate, select, and implement DWH technologies (cloud-native solutions preferred: e.g., Snowflake, BigQuery, Redshift, Databricks, etc.) aligned with company needs and budget.
- Build and maintain robust ETL/ELT pipelines to integrate data from internal systems (CRM, product analytics, finance, marketing, etc.) and external sources (third-party platforms, APIs, etc.).
- Ensure data quality, consistency, governance, and lineage across the organization.
- Collaborate with AI, BI, and engineering teams to prepare data pipelines for AI/ML workloads (batch and real-time).
- Work closely with stakeholders to understand business needs and translate them into technical data solutions.
- Document data models, schemas, data flows, and engineering decisions.
- Continuously optimize data workflows for performance, cost-efficiency, and reliability.
- Contribute to AI data strategies, including feature engineering, model input pipelines, and scalable model deployment architecture.
- Help define data access policies and security controls in collaboration with InfoSec and compliance teams.
Qualifications:
- 3+ years of hands-on experience in AI/ML data engineering in production environments.
- Proven track record of building and launching data warehouse solutions at scale, ideally for mid-sized international companies.
- Deep expertise in cloud-based DWH platforms (e.g., Snowflake, Redshift, BigQuery, ClickHouse or similar).
- Strong experience with data orchestration frameworks (Airflow, Dagster, Prefect) and data transformation tools (dbt, Spark, etc.).
- Solid knowledge of Python and SQL for data manipulation and pipeline development.
- Experience with real-time data processing (e.g., Kafka, Kinesis, Flink).
- Familiarity with AI/ML workflows, including data preparation, feature stores, model versioning, and MLOps.
- Strong understanding of data privacy, GDPR, and compliance practices.
- Previous experience in iGaming or similar B2C digital industries (e.g., eCommerce, digital entertainment, online marketplaces) is essential.
Would be a plus : Experience integrating with iGaming-specific platforms: CRM systems, payment providers, user behavior tracking tools, etc.
Company Offers:
- Competitive salary with constant recognition of your efforts (annual salary review).
- Work-life balance — 25 paid vacation days, flexible schedule, corporate events, and regular team-building activities.
- Health & well-being — private health insurance and Fit Pass for all employees.
🔥Ready to take the next step?
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, Kate
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