AI Data Engineer

AI Data Engineer
 
 About Us
Citruss (https://citrussys.com/) - we’re a dynamic IT company at the crossroads of marketing, gaming, and finance in the iGaming industry. Our products are successfully launched across Europe, Africa, and Latin America. We focus on innovation, partnerships, and growth, creating a modern and friendly workplace where professionals thrive.
 
Why join us?
- Competitive salary with constant recognition of your efforts (annual salary review).
- Rapid career growth — at our company, going from Junior to CEO is not just a story, it’s reality. We value results and ambition, and we create space for your ideas to thrive.
- Health & well-being — private health insurance and Fit Pass for all employees.
- Work-life balance — 25 paid vacation days, flexible schedule, corporate events, and regular team-building activities.
- Modern, comfortable office — located in a new business center with a spectacular view, easy to reach, stocked with free fruit and snacks, plus a playroom with billiards, table tennis, and PlayStation.
- Special celebrations — we love to celebrate milestones together and provide special vouchers for your birthday, so you can enjoy your day to the fullest.

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.
- Background in data visualization tools (Looker, Tableau, Power BI) and reporting layer architecture.
- Familiarity with infrastructure-as-code (Terraform, CloudFormation) and containerized environments (Docker, Kubernetes).

 Ready to take the next step?
 📱 Let’s talk: Показать контакты , Snezhana (Telegram).