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Data Engineer
Traffic Label —Remote
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MariaDB plc —Remote
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Sales Engineer GridGain
MariaDB plc —Remote
Travel is expected to support your work with the sales team & potential customers. Cycle Management: Partner with Account Executives and the global sales…
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Data Engineer

Traffic Label
Remote

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Job details

Qualifications

SFTP
Performance tuning
Data modelling
MCP
Git
SQL
AWS
Docker
Terraform
REST
Data pipeline
GitHub
APIs
S3
Kafka
Data warehouse
Python
Debugging

Full job description

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

Our Data Platform team builds and operates a Customer Data Platform (CDP) that powers marketing activation, identity resolution, and revenue attribution across multiple brands. The platform ingests player data from casino systems, enriches it
through an MDM layer, and activates it through email service providers (DotDigital, Adestra, FastTrack) for personalised campaigns.

The marketing activation flow — from player registration through identity matching to campaign delivery and attribution — is the core value the platform delivers. You will work across this entire flow: ingestion, transformation, reverse ETL
to ESPs, and campaign feedback loops.

Stack: Python, Snowflake, dbt Core, Astronomer (Airflow), AWS Lambda, Terraform, GitHub Actions.

Key Responsibilities

Build and maintain ingestion pipelines (REST APIs, SFTP, database replication) into Snowflake
Write dbt models across bronze/silver/gold layers following established conventions
Integrate with third-party ESPs (DotDigital, Adestra, FastTrack): push segments, pull back campaign events (opens, clicks, bounces, conversions)
Develop and maintain AWS Lambda functions for data extraction and reverse ETL
Build data models for identity resolution, segmentation, and attribution
Configure and manage Airflow DAGs for orchestration
Implement data quality checks, monitoring, and alerting
Manage Snowflake and AWS infrastructure via Terraform
Investigate and resolve data incidents (pipeline failures, data quality issues, PII exposure)

Core Skills

4+ years of experience developing and deploying data pipelines using Python in production (tested, CI/CD, error handling)
4+ years of experience writing complex SQL queries, performance tuning, Snowflake-optimised
Strong experience with Snowflake: SnowPipe, external stages, RBAC, masking policies, warehouses
Strong experience with dbt Core for data transformation, testing, and incremental models
Experience with data warehouse design: star schemas, snowflake schemas, dimensions, facts, slowly changing dimensions
Experience with data modelling methodologies: conceptual, logical, and physical models
Experience developing and deploying ETL/ELT pipelines using Airflow or similar orchestration tools
AI-native development workflow: daily use of AI coding tools (Copilot, Cursor, Claude Code, Kiro) for code generation, review, and debugging

Supporting Skills

Spec-driven development: requirements spec AI generates implementation human reviews and iterates
MCP (Model Context Protocol) for connecting AI agents to infrastructure and data tools
Data quality frameworks: dbt tests, Soda, Monte Carlo, or equivalent
AWS services (S3, Lambda, IAM, EventBridge)
Terraform
Git, CI/CD pipelines, Docker
Data lineage and impact analysis

Nice to Have

Kafka or streaming experience
ESP integrations (DotDigital, Adestra, or similar marketing platforms)
iGaming domain knowledge

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.

Department

Traffic Label

Role

Data Engineer

Locations

Remote Europe, Remote UK

Remote status

Fully Remote

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