PLAYERSBEST is an online lead generation company that creates quality leads in highly competitive verticals, such as iGaming, Financials, Health and Communications. We focus on building high-end websites with quality content that let customers make an informed decision about the product they’re about to buy or sign-up to. We pride ourselves on adopting a customer-focused approach to quality and usability. About the role We are expanding our Data & BI team and looking for an experienced Senior Data Engineer to own the data model and the medallion framework (Bronze, Silver, Gold) that turn raw data into trusted, business-ready numbers. Our platform runs on Google Cloud, with dbt on BigQuery, Airflow and ClickHouse. What you'll do - Design and own the medallion framework: Bronze for raw landing, Silver for cleaned and conformed data, Gold for business-ready marts - Design the core dimensional model of facts and dimensions (traffic, clicks, registrations, deposits, commissions, costs), with clear grain and conformed keys - Build these layers as tested, documented transformation models with agreed business definitions - Write and maintain Airflow DAGs, and use ClickHouse for high-volume event data - Add data quality checks and alerts, help integrate new sources, and take part in architecture discussions and code reviews What we're looking for - At least 4 years' working experience as a Data Engineer or Data Warehouse developer - Working experience in the iGaming or affiliate marketing industry - Excellent, confident SQL: complex joins, window functions and tuning queries on large datasets - Very good, production-level Python for pipelines, API integrations and automation - Hands-on experience with dbt, Airflow and BigQuery (or Snowflake, Redshift), with ClickHouse as a plus - Strong data modelling skills: star schemas, fact grain, conformed dimensions, slowly changing dimensions and surrogate keys - Proven experience designing and building a layered (medallion) architecture in production - Experience with Git and CI/CD - Uses AI coding assistants (such as Claude Code or Copilot) to speed up development, and reviews what they produce - Very good communication skills in English (mandatory) - Experience with Spark/PySpark, Databricks, Delta Lake, AWS (S3, AppFlow, Step Functions), ClickHouse or Terraform (nice to have). What we offer - Collaborative Environment: Work closely with engineering, product, and marketing teams in a dynamic, data-driven culture that values your expertise - Competitive Compensation: A competitive salary, performance-based incentives, and other benefits - Flexible & Remote-Friendly: Work remotely, on-site, or hybrid, with the flexibility to suit your lifestyle

Senior Data Engineer

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