Data Platform Engineer

Block Labs

Data Platform Engineer for Block Labs building scalable data pipelines and feature-serving layers. Responsible for integrating with external systems and maintaining data contracts.

Posted 6/1/2026full-timeRemote • 🇵🇹 PortugalMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSKafkaPySparkSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines using AWS Glue (PySpark)
Engineer and optimise the ClickHouse warehouse for sub-second query performance
Implement data contracts between back-office and the platform
Build the feature-serving layer providing pre-computed features to AI agents
Integrate with third-party databases and external systems
Establish monitoring, alerting, and maintenance procedures
Own CI/CD and infrastructure-as-code for data workloads
Collaborate with data scientists and engineering teams

Requirements

What you’ll need

3+ years building and operating production data pipelines at scale
Expertise in Apache Kafka (or Amazon MSK)
Strong SQL and warehouse engineering skills
PySpark / Spark Streaming proficiency
Data modelling discipline
CI/CD and infrastructure-as-code experience
Data quality and observability mindset
Experience in iGaming, online casino, poker, or sportsbook platforms (nice to have)
Exposure to blockchain or crypto-native transaction flows (nice to have)

Benefits

Comp & perks

Fully remote with asynchronous-first communication
Flexible working arrangements
Small, high-autonomy team

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWS GluePySparkClickHouseApache KafkaSQLSpark Streamingdata modellingCI/CDinfrastructure-as-codedata quality

Soft Skills

collaborationproblem-solvingcommunicationorganizational skillsattention to detail