Senior Data Engineer

Delivery Hero
Berlin
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Data quality focus","Engineering ownership","Collaboration","Problem-solving","Continuous improvement"]

Build and enhance fraud-prevention data products that power reliable real-time signals and downstream machine learning. You’ll extend historization capabilities, create scalable batch pipelines alongside a Flink streaming platform, and implement strong data quality, freshness, and observability so data issues are caught early. Work end-to-end from design through deployment with Data Science and Engineering teams to deliver point-in-time-correct datasets for backtesting and rule evaluation.

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FursaFursa
Delivery Hero
Delivery Hero
4 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 3 weeks ago

Job Summary

Build and enhance fraud-prevention data products that power reliable real-time signals and downstream machine learning. You’ll extend historization capabilities, create scalable batch pipelines alongside a Flink streaming platform, and implement strong data quality, freshness, and observability so data issues are caught early. Work end-to-end from design through deployment with Data Science and Engineering teams to deliver point-in-time-correct datasets for backtesting and rule evaluation.
Location: Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and enhance historization capabilities, batch pipelines, and a data quality framework for fraud data reliability and traceability.
  • •Develop scalable batch pipelines that complement an existing Flink-based streaming platform.
  • •Implement robust controls for data completeness, freshness, anomaly detection, reconciliation, and business-logic accuracy.
  • •Create observability capabilities to surface pipeline failures, data drift, and quality issues before they affect models or fraud rules.
  • •Translate fraud-prevention use cases into scalable, resilient data products in partnership with Data Scientists and Fraud Ops.

Pay and Benefits

Perks:Paid LeaveLearning BudgetGym MembershipLife InsurancePensionSabbaticalMeal VouchersCommuter Benefits

Key Requirements

  • •Experience building production data pipelines using Python, Airflow, dbt, and BigQuery on GCP or AWS.
  • •Hands-on stream processing experience with Apache Flink (event time, state, checkpointing, late-arriving data).
  • •Strong understanding of feature preparation plus model training, backtesting, and inference workflows.
  • •Experience building data validation frameworks, monitoring/alerting, and data lineage for production systems.
  • •Track record of owning data solutions end-to-end (design, implementation, deployment, operations).
Experience:Fraud preventionFintechData engineeringStream processingMachine learning
Skills:Data quality focusEngineering ownershipCollaborationProblem-solvingContinuous improvement
Languages:English (UK)
Tech Stack:PythonAirflowDbtBigQueryGCPAWSApache FlinkFlinkObservabilityMonitoringAlertingData lineage

Company Brief

Delivery Hero
Global online food-ordering and local delivery platform operating multiple regional brands (e.g., Foodpanda, Glovo, Talabat) across 50–70+ countries, supplying food and quick-commerce deliveries via marketplace and logistics services.
Industry: Online Marketplaces
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Berlin, Germany
Founded: 2011
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Glassdoor: 3.4
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