Product Owner

About Traffic Label

Traffic Label is a performance marketing and technology company operating at scale in the iGaming and digital entertainment space. We build data products and platforms that power decision-making, marketing effectiveness, and growth.

About the Role

We’re hiring a Product Owner to help build and evolve our Data Platform. This is not a “business-only” PO role - you’ll work day-to-day with data engineers and analytics teams on core platform capabilities: ingestion, transformation, modelling, governance, reliability, and data quality. You should be comfortable discussing data architecture and trade-offs with engineers, defining platform requirements, and ensuring the output is production-grade for analytics and ML consumers.

Key Responsibilities

• Own and deliver the Data Platform roadmap with a strong focus on technical execution and measurable outcomes.
• Define requirements for ETL/ELT pipelines, data ingestion, transformations, and data modelling (e.g., bronze/silver/gold layers).
• Partner closely with Data Engineering on solution design, prioritisation, delivery planning, and release readiness.
• Translate complex stakeholder needs into clear user stories, technical acceptance criteria, and success metrics.
• Drive platform initiatives around:
• Data quality (validation, monitoring, incident triage, root-cause analysis)
• Reliability & freshness SLAs
• Governance (lineage, documentation, access controls, definitions)
• Performance & cost optimisation (e.g., Snowflake compute/storage trade-offs)
• Track and report platform KPIs: pipeline health, coverage, data freshness, failure rates, reliability, and adoption.

Skills & Experience

• 4+ years as a Product Owner/Product Manager in a data platform / data engineering / analytics platform environment.
• Strong understanding of data architecture, ingestion patterns, ETL/ELT, and transformation principles.
• Proven experience working directly with data engineers on platform delivery (not only dashboards/reporting requests).
• Hands-on ability to work with technical artefacts:
• writing/reading SQL
• understanding data models, schemas, and typical pipeline failure modes
• working with backlogs that include technical tasks (observability, refactoring, optimisation, governance)
• Familiarity with modern cloud data ecosystems, ideally:
• AWS + Snowflake + dbt (or equivalents)
• Git-based workflows and structured delivery processes

Nice to Have

• Experience with data orchestration/observability tooling (e.g., Airflow/Dagster, data quality tooling, monitoring).
• Experience with marketing attribution / player data / iGaming domain.
• Exposure to ML/feature pipelines and analytics enablement.

What We Offer

• Competitive salary + performance bonus.
• Opportunity to build a core platform capability from the ground up.
• Remote work across Europe with flexible collaboration hours.
• Private health insurance and wellness benefits.
• A culture that values ownership, clarity, and strong delivery.

Key skills/competency

• Data Platform Ownership
• ETL/ELT Design
• Data Architecture
• SQL Proficiency
• Cloud Data Ecosystems (AWS, Snowflake, dbt)
• Data Governance
• Data Quality Management
• Product Roadmap Management
• Stakeholder Management
• Technical Execution