Senior Data Product Engineer (Data Mesh)

For one of our international clients, we are currently looking for an experienced Senior Data Product Engineer who will join a team responsible for building and maintaining advanced analytical data platforms. This role is not about building generic pipelines – it’s about owning the logic. You will design and develop modern Data Products based on the Data Mesh methodology, translating complex business needs into high-quality analytical layers. Poland / Warsaw (100% remote possible for candidates who can visit the Warsaw office occasionally). Your responsibilities • End-to-End Data Product Ownership: Designing and building analytical data layers and "Data Products" that provide real business value, not just moving data from A to B. • Business Logic Implementation: Gathering requirements and implementing complex business logic, including data reconciliation and root cause analysis. • Cost-Conscious Engineering: Designing models with a strong focus on cost-optimization (especially within the Snowflake environment) – working on samples and profiling data before full-scale deployment. • Data Quality & Reliability: Implementing automated Data Quality frameworks and anomaly detection to ensure "single version of truth" for the business. • Strategic Thinking: Applying the Pareto principle to prioritize tasks and deliver maximum impact with efficient technical solutions. • Independent Role: Acting as a bridge between the central platform team (who provides the infrastructure) and the business stakeholders.  Requirements • Seniority (Must-have): Minimum 6 years of documented experience as a Data Analyst or Data Engineer. • Analytical Mindset: Strong ability to understand complex business processes and translate them into technical logic. • SQL & Modeling Mastery: Advanced SQL (query optimization is key) and solid experience in relational/analytical data modeling. • Warehouse Experience: Practical knowledge of modern Data Warehouses. Snowflake is preferred, but we are open to experts in other technologies (BigQuery, Databricks, etc.) who are ready to switch. • Statistical Validation: Ability to use statistical methods (distributions, percentiles) for data validation and identifying source-level anomalies. • Autonomy: Experience in taking full ownership of tasks in a senior-level, independent role. Nice to have • Experience with dbt (modeling, macros, unit testing). • Knowledge of Python (especially in the context of Snowpark or Airflow orchestration). • Background in top-tier consulting firms. • Specific experience in Snowflake cost management. What we offer • Fast Recruitment Process: Only 2 stages (Technical & Conceptual/Architecture discussion). • High-Quality Product: Join a project with a well-designed, mature Data Mesh architecture. • Professional Growth: Opportunity to work with industry leaders. Please note that we will contact selected candidates only. TQLO Sp. z o.o. – Recruitment Agency Registration Number KRAZ 33580