[Hiring] Senior Data Engineer @Traffic Label

Role Description

We are building a Customer Data Platform (CDP) that ingests data from 10+ casino partners, builds a unified player profile, and activates marketing campaigns through multiple ESPs (DotDigital, Adestra, FastTrack).

The platform is live: 5 sources in production, 30-40 dbt models in the silver layer, working email campaigns through DotDigital.

You’ll join a Data Platform team of 5-10 engineers (Senior DE, QA, DA, PM) reporting to the Data Engineering Lead. You will own the ingestion layer, source integrations, and platform tooling. Your job: make it so that connecting a new data source takes days, not months.

You’ll design and build reusable pipeline templates and own integrations with external systems (both inbound and outbound).

This is not a “write one pipeline and move on” role. This is “build the system that generates pipelines” + own the integrations that feed and consume data.

Key Responsibilities

• Design and build ingestion pipelines for REST API, database sources, etc., using Python.
• Own ETL and Reverse ETL end-to-end, including implementation, deployment, operations, and incident handling.
• Understand how external systems work (casino platforms, ESPs, affiliate tools) to build reliable integrations with them.
• Design DAG patterns: dependency management, partial retry, backfill procedures.
• Implement and maintain authentication flows, token refresh handling, and secrets management.
• Monitor, troubleshoot, and resolve integration issues in production environments.
• Write and maintain automated tests to ensure the reliability and stability of integration services.
• Collaborate closely with Engineering, Product, and Data teams to support platform scalability and operational efficiency.
• Contribute to infrastructure improvements and Infrastructure-as-Code initiatives.
• Write Architecture Decision Records (ADRs) for significant design choices.

Qualifications

• 6+ years in data engineering.
• Advanced Python: API clients, file processing, schema validation, integration logic.
• Deep Airflow experience: DAG design, dynamic generation, sensors, retry patterns, backfill, pools, connections management.
• dbt (mid+): bronze/silver models, source freshness, tests, materialisation strategy.
• Snowflake (mid): external stages, COPY INTO, storage integration, basic optimisation.
• API integration experience: authentication (OAuth, API keys), pagination, rate limiting, retry with backoff, error classification.
• Proven experience building reusable pipeline frameworks/templates that others use daily.
• Reverse ETL or outbound integration experience: pushed data from the warehouse to external systems.
• Writes clear documentation: architecture decisions, pipeline templates, and onboarding guides for the team.
• CI/CD pipeline design (GitHub Actions).

Nice to have

• Terraform basics.
• Metadata-driven / config-driven pipeline experience.
• Experience with ESP platforms (DotDigital, SendGrid, Braze, or similar).
• Gambling, marketing, or multi-tenant data platform experience.
• Comfortable using AI coding assistants.

Benefits

• Competitive salary.
• Fully remote work across Europe.
• Flexible collaboration hours and strong work-life balance.
• The opportunity to work on scalable, business-critical systems and integrations.
• A collaborative culture focused on ownership, innovation, and continuous improvement.