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2 дня назад

Data Engineer III (Fintech)

58 400 - 87 600€
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK/Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer III (Python/GCP/BigQuery): Building and maintaining scalable data infrastructure, including data models, ETL/ELT pipelines, orchestration, and quality controls, with an accent on reliable data delivery and cloud-based architecture. Focus on designing high-volume pipelines, solving complex data quality and performance challenges, and collaborating with analysts, engineers, and business stakeholders.

Location: Lisbon, Portugal

Base salary: €58,400–€87,600 per year

Company

hirify.global, a Mollie company, provides bank payment infrastructure for more than 100,000 businesses across 30+ countries, including Direct Debit, real-time payments, open banking, and AI-powered payment solutions.

What you will do

  • Design, develop, and iterate data models, schemas, and ETL/ELT pipelines for large volumes of data.
  • Build and maintain scalable data architectures and orchestration workflows with scheduling, dependency management, and retries.
  • Implement data quality checks, monitoring, validation, and governance processes.
  • Collaborate with engineers, data scientists, AI/ML engineers, analysts, and business stakeholders to deliver data solutions.
  • Improve data infrastructure through modern engineering practices, technical innovation, documentation, and knowledge sharing.

Requirements

  • Strong SQL skills and experience with relational and/or NoSQL databases.
  • Experience designing data models and schemas for analytics or product use cases.
  • Hands-on experience building ETL/ELT pipelines and ingesting data from internal or third-party sources using tools such as Apache Airflow or Dataflow.
  • Experience with cloud data platforms, particularly Google Cloud Platform, BigQuery, CloudSQL, Dataflow, and Pub/Sub, or equivalent AWS/Azure services.
  • Proficiency in Python or another data engineering language, plus Git and CI/CD experience.
  • Knowledge of data governance, security, privacy regulations, stakeholder communication, and a relevant bachelor's degree or equivalent practical experience.

Nice to have

  • Fintech or payments industry experience.
  • Terraform or CloudFormation experience.
  • Experience with orchestration platforms, workflow management, streaming, and real-time data processing.
  • Knowledge of machine learning pipelines, ML workflows, data visualization, or business intelligence platforms.

Culture & Benefits

  • Medical cover and dedicated wellbeing support.
  • Work away scheme allowing work outside the country of residence for up to 90 days in any 12-month period.
  • Adaptive working and generous holiday allowance.
  • Parental leave, an annual learning budget, three volunteer days, and four annual wellness days.
  • Values-led culture focused on integrity, humility, collaboration, and accessibility.

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