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EatClub
EatClub
51 – 200 Angajați
Alimente și băuturiPiață onlineSaaS
EatClub este o companie de tehnologie pentru industria alimentară și a băuturilor, fondată în Australia, care operează o aplicație pentru consumatori și o platformă de tip marketplace pentru oferte cu preț redus la restaurante și comenzi la pachet. Platforma conectează utilizatorii cu oferte valabile pentru perioade limitate de la restaurante și baruri, inclusiv oferte pentru servirea mesei devreme, în orele de vârf și pentru mesele târzii, economiile fiind aplicate printr-un card Mastercard digital preplătit EatClub. Utilizatorii pot descoperi oferte, pot face rezervări și pot plasa comenzi la pachet, iar locațiile partenere folosesc serviciul pentru a ocupa capacitatea disponibilă și a obține venituri mai previzibile. EatClub reunește într-o singură platformă tehnologia de marketplace, prețurile dinamice, rezervările, comenzile și plățile integrate, deservind piața australiană a ospitalității.
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Locurile de muncă ale companiei

Data Platform Engineer – Hybrid Australia

Build and operate EatClub’s Databricks lakehouse and dependable data pipelines. Your work will support analytics, data science, governance and better decisions across a growing restaurant technology business.

AUAustraliaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
AirflowAWSCloudPythonSparkSQL

Descriere

  • Develop and run bronze-layer ingestion using source integrations, CDC streams and third-party APIs
  • Manage schema changes, backfills and data replays
  • Take ownership of orchestration, including schedules, dependencies, retries, alerting and dataset SLAs
  • Strengthen CI/CD with trunk-based development, pull-request validation, deployment gates and consistent environment promotion
  • Administer platform governance through grants, lineage, tags, row- and column-level controls and secure external sharing
  • Improve cost and throughput by sizing warehouses and clusters appropriately and tuning partitioning, clustering and incremental processing
  • Create data-quality and observability controls for freshness, volume and schema, with failure alerts and root-cause investigation
  • Enable analysts and data scientists to use the platform independently
  • Partner with analytics and data science teams that rely on the platform for models and dashboards
  • Use AI tools to accelerate development, testing, migrations and code review

Cerințe

  • Demonstrated ability to write and optimise SQL for commercial-scale products
  • Advanced Python proficiency
  • Practical experience building and operating production data pipelines on cloud data platforms
  • Experience with orchestration and scheduling tools such as Databricks Workflows, Airflow, Dagster or comparable systems
  • Experience diagnosing and recovering failed overnight jobs
  • Experience ingesting data efficiently from internal APIs and third-party tools while preserving strict integrity
  • Strong foundation in Git, CI/CD, trunk-based development, testing and broader software engineering practices
  • Comfort working in an AI-first development model using Claude Code, agentic workflows and AI throughout the daily development cycle
  • Databricks and dbt Core experience is advantageous
  • AWS familiarity is advantageous
  • Experience optimising Spark or Databricks cost and performance, including partitioning, liquid clustering and warehouse sizing, is advantageous
  • Streaming or CDC experience with technologies such as Structured Streaming, Debezium or Delta Live Tables is advantageous
  • Experience applying data-quality, security and documentation practices is advantageous
  • Experience running AI and LLM experiments is advantageous

Beneficii

  • Staff discounts and dining vouchers for use through EatClub
  • Optional $5 voucher for first-time EatClub users with code ECAPPLY5; participation does not affect the application or interview process
  • AI-first environment with Claude Code through Anthropic Enterprise, plus agentic and asynchronous workflows
  • Opportunity to contribute to a Databricks lakehouse platform
  • Small team with broad, high-impact responsibilities
  • Rapid delivery supported by weekly feedback

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