
AI Data Engineer
2 weeks ago
Hello there, thanks for paying attention to our vacancy and let us introduce ourselves.
We are an IT company occupying a remarkable place in marketing, gaming, and financial segments of the
iGaming
industry. Our products are successfully implemented in European, African, and Latin American markets.
Ever since we first started, we have been driven to find the best solutions in everything we do. At the same time, we have been creating strong connections all over the world which have helped us establish our presence in the industry.
We strive for fun, elegance, and efficiency in everything we do. You can feel this in our relaxed, homelike working environment. We offer employment and seek to hire only the brightest, most driven, and most gifted minds around.
Currently, we are looking for an ambitious
AI Data Engineer
to join our team for
full-time
employment in our beautiful
office
in New Belgrade.
Here are a few reasons to
join us
:
- competitive salary and constant encouragement for your efforts and contribution (annual salary review);
- rapid growth (junior to CEO is a familiar journey for our company. We value business results and individuals eager to raise the bar. As an employer we provide supportive space to pursue your ideas);
- we are taking care of the overall well-being of our people by providing private health insurance and Fit Pass for all;
- work-life balance (every second-week Power-Up Friday with 4 hours of working time, 25 working days of paid vacation, flexible schedule);
- modern and comfy office (easy-to-get office in new business center with a spectacular view, free fruits, and snacks in the office, playroom with billiard, tennis table, and PlayStation);
- we like to celebrate special days and have fun at our corporate events, and team-building activities, and we have special vouchers for our people's birthdays so you can enjoy your special day.
We are looking for a highly skilled
AI Data Engineer
to join our AI Department. You will play a pivotal role in designing, building, and maintaining our next-generation Data Warehouse infrastructure, ensuring seamless integration of data from various internal and external systems. You will also support our AI initiatives with robust data pipelines that power ML/AI models across the company.
This role requires proven experience in building enterprise-scale data warehouses, hands-on expertise in AI/ML engineering, and a solid background in iGaming or B2C digital businesses with comparable scale.
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).
From our part, we are ready to provide you with our full and comprehensive support in order to successfully cope with this list of tasks
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