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The Data Platform Team builds and operates the infrastructure that powers every data use case at bsport: from raw ingestion to orchestration, quality monitoring, and the foundation for analytics and AI/ML. Your primary stakeholders are the full Data team (Analytics Engineers, Data Analysts, and Data Scientists) who is developing on the platform leveraging the ingested data layer and computing capacity for creating the reporting and enriched data layers. You will also work closely with the SRE team to keep the platform secure, reliable, and scalable.
Job Responsibility:
Build and operate the data platform (Databricks, Airflow, AWS): compute configurations, Unity Catalog, access controls, and cost management to keep it performant and reliable
Design and ship the ingestion layer bringing data from our operational systems (PostgreSQL, Kafka, SaaS tools) into the lakehouse data layer (with schema evolution, deduplication, and lineage tracking)
Standardise ingestion patterns across batch and CDC use cases
Build and maintain the observability framework covering platform health, pipeline SLAs, and data quality
Drive developer experience across the Data team: shared libraries, CI/CD for data assets, self-service tooling, and contribution standards
Requirements:
5+ years of experience as a Data Engineer, with meaningful time spent on platform and infrastructure
Deep hands-on experience with Databricks (Unity Catalog, Delta Lake, job compute) and Apache Airflow in production
Strong Python skills with a software engineering mindset
Experience building or significantly improving ingestion systems
Comfortable with AWS and Terraform for infrastructure provisioning
Experience introducing tooling or processes that made your team meaningfully more productive
A proactive, problem-solving mindset
Strong communication skills and fluency in English to collaborate across teams
What we offer:
Attractive compensation package
Hybrid model with remote days
Up to 15 days of remote work from abroad each year
helloCSE: discount platform for fitness, shopping, culture, cinema, live events
Multicultural colleagues, after-work events, team-building & more