Data Platform Engineer
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About the role
Data & Intelligence now sits at the centre of several products we are developing, and we need a platform that is both dependable and capable of supporting more advanced intelligence over time. This role reflects that shift. We are designing a new data platform that will act as the backbone for everything from real time decisioning to predictive modelling. As a Data Platform Engineer in the Data Team, you will own the end-to-end real-time pipeline, serving data across a unified analytical warehouse and feature-serving layer. You are not building dashboards. You are engineering the commercial nervous system of a multi-tenant platform designed to scale from one operator to 10x with marginal infrastructure cost.
What you'll bring
- 3+ years building and operating production data pipelines at scale, with hands-on experience across both streaming and batch paradigms.
- Expertise in Apache Kafka (or Amazon MSK): topic design, consumer group management, offset handling, schema registry operations, and production troubleshooting of lag, rebalancing, and throughput issues.
- Strong SQL and warehouse engineering skills: experience with columnar analytical databases.
- PySpark / Spark Streaming proficiency: writing transformation jobs that normalise, enrich, and enforce business rules on event streams.
- Data modelling discipline: ability to design normalised, multi-tenant schemas where tenant isolation is a filter, not a fork.
- Experience with data contracts and schema governance.
- CI/CD and infrastructure-as-code experience: automated testing of data pipelines, version-controlled deployments (CloudFormation, Terraform, or CDK), and familiarity with containerised workloads (ECS Fargate or Kubernetes).
- Data quality and observability mindset: experience implementing pipeline health monitoring, automated data validation (Great Expectations or equivalent), freshness checks, and anomaly detection.
- Experience with AWS Glue, Apache Airflow, or Apache NiFi is a strong plus.
- Experience in iGaming, online casino, poker, or sportsbook platforms.
- Exposure to blockchain or crypto-native transaction flows, including on-chain event ingestion, token-denominated accounting, or stablecoin settlement.
- Comfortable operating in an AWS-native environment (MSK, Glue, S3, DynamoDB, ECS, IAM).