Data Engineer III

Primer
United Kingdom, Hungary, Poland, South Africa, Portugal, Ireland, Romania
Workplace: RemoteFull timeFunction: Software EngineeringSkills: ["Clear communication","Detail-oriented","Teamwork","Eager to learn","Adaptability"]

Design and build reliable data infrastructure as a software discipline: internal tools, data pipelines, and APIs that power analytics, product features, and machine learning. Work across product and engineering to deliver scalable, seamless, and maintainable systems. Build batch/streaming and CDC pipelines, transform data with dbt, and operate cloud-native services using AWS, Kubernetes, Terraform, and strong observability with OpenTelemetry and Datadog.

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FursaFursa
Primer
Primer
4 days ago

Data Engineer III

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Design and build reliable data infrastructure as a software discipline: internal tools, data pipelines, and APIs that power analytics, product features, and machine learning. Work across product and engineering to deliver scalable, seamless, and maintainable systems. Build batch/streaming and CDC pipelines, transform data with dbt, and operate cloud-native services using AWS, Kubernetes, Terraform, and strong observability with OpenTelemetry and Datadog.
Location: United Kingdom, Hungary, Poland, South Africa, Portugal, Ireland, Romania
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Build internal tools, pipelines, and APIs that support analytics, product features, and machine learning.
  • •Design and implement batch and streaming data pipelines, including CDC pipelines.
  • •Collaborate with product and engineering teams to make data infrastructure seamless and efficient.
  • •Develop data transformations and orchestration using dbt and cloud-native components.
  • •Ensure reliability and maintainability through testing, code reviews, and CI/CD practices.

Pay and Benefits

Perks:EquityPaid LeaveHome OfficeHealth InsuranceLearning Budget

Key Requirements

  • •Design clean, reliable, tested, maintainable systems for data engineering at scale.
  • •Build and maintain batch and/or streaming data pipelines, including CDC pipelines.
  • •Proficient in Python and SQL for data transformation and pipeline development.
  • •Use modern data warehouse and transformation tooling (e.g., Snowflake and dbt).
  • •Work comfortably across infrastructure and data systems in cloud-native environments (e.g., AWS, Kubernetes, Terraform).
Experience:Data-intensive environmentsPaymentsData infrastructureMachine learning
Skills:Clear communicationDetail-orientedTeamworkEager to learnAdaptability
Tech Stack:AWSCockroachDBDynamoDBElasticsearchSnowflakePythonSQLKubernetesHelmTerraformDbtOpenTelemetryDatadogCI/CDContainerisationAutomated testingCDC pipelines

Company Brief

Primer
Provides a unified, no-code / low-code payments infrastructure and orchestration platform that lets merchants connect, automate and optimise payment flows across processors, methods and partners to improve conversion and reduce friction.
Industry: Fintech Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: USD 250M to 500M
Funding: Series B
Headquarters: London, United Kingdom
Founded: 2020
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