Senior Data Engineer

Thunes
Barcelona
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringSkills: ["Analytical aptitude","Business partnership","Data governance mindset","Problem-solving","Technical communication"]

Build and optimize end-to-end data pipelines and cloud-native data lake systems, translating business requirements into performant data models for reporting and BI. Orchestrate containerized data workloads using tools like Apache Airflow and Infrastructure as Code with Terraform. Maintain low-latency streaming and replication architectures with Apache Kafka, while implementing data governance, lineage, and automated validation to ensure accuracy and platform reliability as data scales.

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FursaFursa
Thunes
Thunes
4 days ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and optimize end-to-end data pipelines and cloud-native data lake systems, translating business requirements into performant data models for reporting and BI. Orchestrate containerized data workloads using tools like Apache Airflow and Infrastructure as Code with Terraform. Maintain low-latency streaming and replication architectures with Apache Kafka, while implementing data governance, lineage, and automated validation to ensure accuracy and platform reliability as data scales.
Location: Barcelona
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and scale end-to-end data pipelines and transformations in a cloud-native data lake environment.
  • •Manage and scale containerized data workloads and automated workflow orchestration, using IaC for infrastructure provisioning.
  • •Maintain and evolve real-time data replication and stream processing architectures for low-latency availability.
  • •Establish data governance frameworks and automated validation protocols to ensure accuracy, compliance, and reliability.
  • •Translate business requirements into performant data models for reporting and business intelligence, and continuously improve the data platform architecture.

Key Requirements

  • •Proven experience in data engineering, designing and scaling distributed data platforms with end-to-end ownership.
  • •Deep cloud-native ecosystem experience, preferably AWS or GCP.
  • •Strong workflow orchestration and Infrastructure as Code skills; experience with Apache Airflow and Terraform is highly preferred.
  • •Hands-on expertise with streaming and real-time replication/replication systems such as Apache Kafka (or equivalents like Amazon Kinesis, Google Pub/Sub).
  • •Advanced Python and SQL skills, including writing clean, modular, highly testable code, plus data governance and quality fundamentals (lineage, metadata, automated checks).
Experience:Distributed data platformsCloud-nativeStreaming dataData engineering
Skills:Analytical aptitudeBusiness partnershipData governance mindsetProblem-solvingTechnical communication
Languages:English
Tech Stack:PythonSQLApache AirflowTerraformApache KafkaAWSGCPPrefectDagsterPulumiAmazon KinesisGoogle Pub/SubCloud-native data lake

Company Brief

Thunes
Provides a global cross-border payments network enabling businesses to send and receive payments across markets via a single integration, serving merchants, fintechs, remitters, and banks with real-time settlement and compliance tools.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Singapore, Singapore
Founded: 2016
WebsiteLinkedIn