Data Engineer

GoCardless
Riga
Workplace: OnsiteFull timeEUR 49,600 - 74,400 annuallyFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Ownership","Critical thinking"]

Design, build, and maintain robust data infrastructure—developing ETL/ELT pipelines, scalable data architectures, and data models that support analytics and product use cases. Implement orchestration, reliability, and high-performance delivery using tools like Python, Google Cloud Platform (BigQuery, CloudSQL, Dataflow, Pub/Sub), Airflow, and dbt. Partner with analytic engineers, analysts, and stakeholders to improve data quality, governance, and documentation while continuously innovating the platform.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
GoCardless
GoCardless
17 hours ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Design, build, and maintain robust data infrastructure—developing ETL/ELT pipelines, scalable data architectures, and data models that support analytics and product use cases. Implement orchestration, reliability, and high-performance delivery using tools like Python, Google Cloud Platform (BigQuery, CloudSQL, Dataflow, Pub/Sub), Airflow, and dbt. Partner with analytic engineers, analysts, and stakeholders to improve data quality, governance, and documentation while continuously innovating the platform.
Location: Riga
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, develop, and iterate data models, schemas, and ETL/ELT pipelines to process large volumes of data efficiently and reliably.
  • •Implement and maintain scalable data architectures and orchestrate pipelines (scheduling, dependencies, retries) using cloud technologies for availability and performance.
  • •Build data quality checks, monitoring, and validation processes to ensure accuracy and consistency across systems.
  • •Collaborate with analytic engineers, data scientists, AI/ML engineers, analysts, and business teams to deliver data solutions that meet requirements.
  • •Create technical documentation, share knowledge, and propose improvements to data infrastructure and processes.

Pay and Benefits

Salary: EUR 49,600 - 74,400 annually
Perks:Medical CoverLearning BudgetParental LeaveVolunteer DaysWellness Stipend

Key Requirements

  • •Strong proficiency in SQL, with experience in relational and/or NoSQL databases.
  • •Experience designing and maintaining data models (dimensional, normalized, or wide-table) for analytics or product use cases.
  • •Hands-on experience building and maintaining ETL/ELT pipelines and ingesting data from third-party or internal sources (e.g., Apache Airflow/Dataflow or similar).
  • •Experience with cloud data platforms, particularly Google Cloud Platform (BigQuery, CloudSQL, Dataflow, Pub/Sub) or equivalent AWS/Azure services.
  • •Proficiency in Python (or another data engineering language) and experience with Git and CI/CD practices.
Experience:FintechPayments
Education:Bachelor's in Computer Science, Engineering, or related field
Skills:CommunicationCollaborationProblem-solvingOwnershipCritical thinking
Languages:English
Tech Stack:SQLPythonGoogle Cloud PlatformBigQueryCloudSQLDataflowPub/SubDbtAirflowETLELTGitCI/CDTerraformCloudFormation

Company Brief

GoCardless
Provides an online payments platform that enables businesses to collect recurring and one-off payments via bank debit (ACH/Direct Debit) across multiple countries, simplifying billing, reconciliation, and global payment workflows.
Industry: Payments
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: London, United Kingdom
Founded: 2011
WebsiteLinkedIn