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12 часов назад

Data Engineer II (AI)

55 000 - 68 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer II (Python/Snowflake): Building and operating reliable data pipelines and platform capabilities for customer-facing data movement and ML foundations with an accent on scalability and observability. Focus on developing Snowflake-based pipelines, improving ingestion workflows, and hardening infrastructure for feature generation and model inputs.

Location: Hybrid - Must be based in Lisbon, Portugal and legally authorized to work in the EU

Salary: €55,000 – €68,000 per year (gross)

Company

AI-powered customer engagement platform that helps brands create dynamic, individualized experiences at scale.

What you will do

  • Build and operate components of the next-generation data ingestion and activation platform, including source connectors and transformation workflows.
  • Develop and maintain Snowflake-based data pipelines and data-sharing workflows to improve freshness and scalability.
  • Improve pipeline reliability, observability, and recovery through metrics, dashboards, and alerting.
  • Partner with data science and ML engineers to harden the infrastructure for feature generation and model inputs.
  • Collaborate with cross-functional teams (SRE, Product, Platform) to define interfaces and deliver end-to-end solutions.

Requirements

  • 3+ years of relevant experience in data engineering, software engineering, or infrastructure roles.
  • Strong proficiency in Python and SQL; familiarity with Scala or Java.
  • Experience with modern data tooling such as Snowflake, S3, Databricks, Postgres, or Redis.
  • Understanding of data modeling, schema evolution, and batch/streaming data systems.
  • Legally authorized to work in the EU.
  • Fluency in English (verbal and written).

Nice to have

  • Experience with Apache Spark, feature stores, or ML platform data workflows.
  • Knowledge of Kafka, Pulsar, or Airflow.
  • Experience with AWS and infrastructure-as-code tools like Terraform.
  • Experience supporting enterprise-grade data products with strict reliability expectations.

Culture & Benefits

  • Competitive salaries and meaningful equity.
  • Private Medical Insurance and Life/Risk Assurance.
  • Meal allowance (€8.55 per day) and Teleworking allowance.
  • 22 days of paid annual leave and additional Balance Days.
  • Paid sabbatical after 4 years of tenure.

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