Traffic Label Limited

About Traffic Label

Traffic Label is an affiliate marketing group in iGaming, 18+ years in the market, 300+ clients. The group owns a crypto casino (5Bet), a CRM platform (Sway Gaming), and a marketing data subsidiary (Acrum). We build internal data products that drive player acquisition and retention across all brands.

Role Overview

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.

Why this role

Connecting a new data source currently takes 2-3 months. Your job: make it 5 days. This is a data platform engineering challenge, not a pipeline writing task.

This is the group’s flagship project. The CDP improves how the company works with players across all brands and directly generates revenue through better marketing activation.

The platform is 4 months old, modern stack, zero legacy. But already in production with real traffic, real campaigns, real money. You’re scaling a working system, not prototyping in isolation.

The core challenge is designing a system where adding a new data partner is a configuration. You’ll solve problems across the full spectrum: API design, schema evolution, orchestration patterns, data quality, and delivery to downstream consumers.

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.

Skills & Experience

Must have:

• 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.

What We Offer

• 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.

About Traffic Label

Traffic Label is an affiliate marketing group in iGaming, 18+ years in the market, 300+ clients. The group owns a crypto casino (5Bet), a CRM platform (Sway Gaming), and a marketing data subsidiary (Acrum). We build internal data products that drive player acquisition and retention across all brands.

Role Overview

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.

Why this role

Connecting a new data source currently takes 2-3 months. Your job: make it 5 days. This is a data platform engineering challenge, not a pipeline writing task.

This is the group’s flagship project. The CDP improves how the company works with players across all brands and directly generates revenue through better marketing activation.

The platform is 4 months old, modern stack, zero legacy. But already in production with real traffic, real campaigns, real money. You’re scaling a working system, not prototyping in isolation.

The core challenge is designing a system where adding a new data partner is a configuration. You’ll solve problems across the full spectrum: API design, schema evolution, orchestration patterns, data quality, and delivery to downstream consumers.

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.

Skills & Experience

Must have:

• 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.

What We Offer

• 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.

Company: Trusted Gaming – Part of Traffic Label Group

About Trusted Gaming
Trusted Gaming is a fast-growing division of Traffic Label Group, specialising in the creation of modern web platforms and user experiences for the online gaming and casino industry. Our products combine innovative design, high performance, and scalability. We’re expanding our front-end engineering team and are seeking a skilled React Developer to help drive new product builds and refine existing architectures.

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

Role Overview
You will be part of a small but highly capable engineering team responsible for developing and maintaining performant, well-structured, and scalable front-end applications. This role involves collaborating closely with backend developers, UX/UI designers, and product managers to deliver best-in-class gaming experiences.
You’ll work primarily in React + Next.js, employing modern patterns, libraries, and tooling. The ideal candidate is both hands-on and detail-oriented, with a strong sense of quality and an interest in building well-architected systems that balance creativity and reliability.

Key Responsibilities

• Build interactive and responsive front-end components using React 19+ and Next.js 15+ (App Router, SSR, server actions).
• Develop modular, reusable code using modern frameworks like TypeScript, Tailwind CSS, and Mantine UI.
• Implement efficient data management with TanStack Query and TanStack Form.
• Integrate and manage REST APIs using tools such as Swagger / OpenAPI for consistent type-safe interfaces.
• Collaborate with the backend team on performance optimization, deployment, and continuous integration (CI/CD).
• Maintain and evolve a Turborepo monorepo architecture, ensuring clean development workflows.
• Apply best practices for code versioning and documentation using Git and relevant CI/CD tools.
• Contribute to architectural discussions, proposing improvements and shaping technical direction.

Skills & Experience Required

• Proven experience building complex, scalable web applications with React (v19+) and Next.js (v15+).
• Strong understanding of TypeScript and modern front-end tooling (Vite, Tailwind CSS).
• Experience with Mantine UI, React Aria Components, and responsive component design.
• Solid grasp of TanStack Query/Form, REST API integration, and Swagger / OpenAPI documentation.
• Familiarity with Turborepo and monorepo design principles.
• Working knowledge of Git and CI/CD pipelines.

Nice to Have

• Advanced React concepts: hooks, composition, compound components, render props.
• Advanced CSS techniques: animations, container queries.
• Automated API type generation (e.g. Orval).
• Code consistency and formatting tools: ESLint, Prettier, Biome.
• Exposure to Pixi.js, or general game development experience a plus.

What We Offer

• Fully remote role within Czech Republic – flexible hours.
• Collaborative and innovative culture across the Traffic Label group.
• Opportunities to experiment with emerging technologies in the gaming space.
• Competitive salary and benefits package tailored to experience.
• A chance to contribute to products that reach millions of users.

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

Role Overview

We are looking for a Data Engineer (integration) to join our Data Platform team to help build, maintain, and scale integrations between external platforms and internal systems. Reporting directly to the Data Engineering Lead, you will focus on reliable backend services, AWS server-less infrastructure, and external API integrations that support critical business operations.
This role is fully remote across Europe and sits within the Development Department - in the Data Platform team/squad.
We are open to Seniority level here from Mid level and above.

Key Responsibilities

• Design, develop, and maintain integrations between third-party platforms and internal systems.
• Build scalable backend services and API-based integration solutions using Python.
• Manage integrations across AWS server-less infrastructure including Lambda, S3, DynamoDB, EventBridge, and related services.
• Implement and maintain authentication flows, token refresh handling, retries, pagination, polling, and async job processing.
• Monitor, troubleshoot, and resolve integration issues in production environments.
• Own integrations end-to-end, including implementation, deployment, operations, and incident handling.
• Write and maintain automated tests to ensure 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.

Skills & Experience

• 4+ years of backend or integration engineering experience in production environments.
• Strong Python development skills with experience building and maintaining external API integrations.
• Hands-on AWS experience including Lambda, S3, DynamoDB, EventBridge, Secrets Manager, SSM Parameter Store, and CloudWatch.
• Experience with Infrastructure-as-Code for provisioning and maintaining cloud infrastructure.
• Strong understanding of REST APIs and integration patterns.
• Experience handling authentication flows, retries, pagination, polling, and asynchronous processing.
• Strong debugging and troubleshooting skills, particularly with third-party integrations.
• Experience writing and maintaining automated tests for backend or integration services.
• Ability to work independently and take ownership of technical deliverables.
• At least 6 months of hands-on experience using AI coding agents in day-to-day development workflows.
• Experience with Airflow or similar workflow orchestration tools is considered a plus.
• Experience working with ESP or CRM platforms is considered an advantage.
• Familiarity with affiliate marketing or iGaming environments is a plus.
• Understanding of marketing data structures and identifiers is considered beneficial.

What We Offer

• 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.

Department: Data Platform
Reports to: Data Engineering Lead
Employment Type: Full Time
Work Model: Fully Remote
Location: Remote EMEA

 

About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

What we’re building
We’re building a Customer Data Platform: one unified player profile across our group of brands. The platform should help the business:

 

• Improve acquisition. Understand who actually converts, and why others don’
• Increase conversion. Replace generic flows with journeys built for the specific player in front of us.
• Segment players properly. Who’s a high-value player? Who’s at risk of leaving? Who’s a VIP?
• Reactivate before churn. Spot players who are about to leave and bring them back with offers that match what they actually want.

Tech stack:

• Snowflake (with Snowpipe and Cortex Analyst LLM agent).
• dbt, Python.
• Airflow (Astronomer), AWS (S3, Lambda), Terraform, GitHub Actions.
• Omni BI on top. Reverse ETL into marketing platforms.
• Medallion architecture: bronze, silver, gold.

We’re early in the build, and the person we hire helps shape the foundation.

Role Overview
You sit between the business (Product Owner, stakeholders) and the engineering team.
About 30% of your time is practical data work: validating that CDP capabilities behave as specified, exploring data before specs are written, testing hypotheses for new capabilities, building shared gold layer models that consumer teams use, and helping those teams understand what data is available. It is not business reporting or analytics built for individual brands.

The other 70% is Systems Analysis: turning what you find into specs engineers can build from, owning data quality from symptom to root cause, raising what isn’t right before it ships, and shaping the semantic layer so other business lines can find and trust the data.

Four things define the systems analysis side:

1. Turn business intent into specs that engineers can build from. Talk to stakeholders, figure out what they actually need, and write it down. Each spec covers source schema, target model, transformation logic, business glossary, schedule, data quality checks, consumer, and use case. Stay reachable through development. Engineers will have questions.
2. Find and fix data quality problems at the root, alongside the engineering function. Trace lineage, identify the cause, work with the data source owner on the fix, check downstream impact, and close the loop.
3. Confirm what’s delivered does what we said it would. Validate against the spec you wrote. When the data isn’t right, you raise it before it ships.
4. Make data usable beyond the team that asked for it. Contribute to the semantic layer, data descriptions, and shared definitions so other business lines can find what they need, understand what it means, and trust it without going through you each time.

You work on the Data Platform layer: CDP build, identity resolution, data quality, semantic definitions, and governance. Business analytics on top of the platform, such as dashboards and performance reports for specific brands, is produced by analyst teams aligned to those brands. Your job is to make sure those teams can do theirs: trustworthy data, clear definitions, fast issue resolution.

The team
You sit within the Data Platform alongside:

• A Product Owner who sets the roadmap and business priorities.
• The Data Engineering function. Your manager (Data Engineering Lead) and the engineers building the platform.
• Embedded QA function. Owns automated validation.
• Shared DevOps across the wider organisation.

Where you’ll start
Identity resolution. Deterministic matching is already running in our MDM across five data sources. You extend coverage to the remaining sources and validate match quality at scale. The harder cases are future scope: hashed identifiers without keys, duplicates across sources, device and behaviour signals. They start when we add dedicated ML engineering capacity, with no committed timeline yet. You’ll own the spec and acceptance for that work when it begins.

Skills & Experience

• SQL. Expert level. Window functions, complex joins, and root cause investigation on large datasets.
• dbt. Practical experience. You can write models, write tests, and debug them.
• Python. Comfortable for ad hoc analysis, scripting, and data manipulation.
• Confident across the modern data stack. You investigate problems yourself instead of waiting for DE, and you can explain the root cause to the business in plain language.
• Medallion or layered data architectures.
• You’ve written specifications that engineers built from.
• You’ve owned a data quality problem from “something looks off” to “fixed at source”.
• You can talk to business stakeholders and a backend engineer in the same hour without losing either of them.
• Background in iGaming, affiliate marketing, SaaS, or other high-volume digital businesses.
• Experience unifying customer or user profiles across sources, sometimes called Customer 360 or Single Customer View. Angles: identity matching, semantic modelling, etc.

What We Offer

• Opportunity to work on scalable, high-impact products in a growing iGaming business
• Collaborative and fast-paced engineering environment
• Exposure to modern technologies and architecture
• Competitive salary and performance-based incentives
• Flexible working environment and supportive team culture