Solvero Group is a holding company that unites several businesses within one group and supports them through centralized HR, Legal, IT, and Finance services.

We are looking for a Data Engineer to build and evolve the data infrastructure that powers reporting, operational insights, and decision-making across the business.

This is a hands-on role focused on designing scalable data architecture, developing reliable data pipelines, and ensuring high standards of data quality and governance. You will work closely with stakeholders across the organization to deliver trusted, well-structured data that supports rapidly growing iGaming operations.

The position offers significant ownership and the opportunity to shape the company's long-term data foundation from the ground up.

Responsibilities

• Design, build, and maintain a data warehouse that supports analytical and operational reporting.
• Define data models, storage strategies, partitioning approaches, and standards for scalability and maintainability.
• Establish data architecture principles and best practices across the organization.
• Develop, maintain, and optimize ETL/ELT pipelines that consolidate data from multiple operational systems.
• Integrate data from gaming platforms, payment providers, affiliate systems, CRM tools, and third-party services.
• Implement real-time and near real-time ingestion processes using APIs, webhooks, and event-driven integrations.
• Ensure reliable and efficient movement of data across the platform.
• Implement monitoring, validation, reconciliation, and alerting processes to ensure data accuracy and completeness.
• Proactively identify and resolve data inconsistencies, pipeline failures, and performance bottlenecks.

Requirements

• 3+ years of experience in Data Engineering.
• Strong SQL skills, including data modeling, query optimization, and performance tuning on large datasets.
• Strong Python development experience with production-grade code and automated data processing workflows.
• Proven experience building and maintaining ETL/ELT pipelines in production environments.
• Hands-on experience with orchestration and transformation tools (e.g.,Airflow, dbt, or similar).
• Solid understanding of Data Warehouse architecture, dimensional modeling, and data lifecycle management.
• Experience working with cloud-based data platforms such as ClickHouse, Snowflake, BigQuery, Redshift or equivalent.
• Experience integrating external systems through APIs, webhooks, and event-driven architecture.
• Strong Data QA mindset with experience implementing data validation, reconciliation, monitoring, and quality controls.
• Ability to quickly understand business processes and translate business requirements into scalable data models and solutions.
• Strong troubleshooting, analytical, and problem-solving skills.
• High attention to detail and commitment to data accuracy and reliability.
• English proficiency at B2 level or higher.