Назад
Company hidden
3 дня назад

Staff Data Engineer

82 500 - 108 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
UK/US/Australia +2 еще
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
Staff Data Engineer (Python/Snowflake): Building reliable data ingestion, activation, analytics, and machine learning data platforms with an accent on high availability, fault tolerance, data quality, and observability. Focus on designing incremental synchronization and Snowflake workflows, creating resilient batch and streaming systems, and leading architecture for enterprise-scale data delivery.

Location: Hybrid in Lisbon, Portugal; legally authorized to work in the EU

Salary: €82,500–€108,000 gross per year

Company

hirify.global provides an AI-powered customer engagement platform for enterprise brands, supporting customer data activation, cross-channel experiences, analytics, and machine learning.

What you will do

  • Own the architecture and end-to-end delivery of data ingestion and activation workflows, including connectors, transformations, incremental synchronization, and bulk API integrations.
  • Design highly available, fault-tolerant, and recoverable data-intensive systems with retries, replayability, backfills, idempotency, and durable workflow execution.
  • Lead Snowflake-based data pipelines and data-sharing workflows for analytics products and customer-facing data delivery.
  • Establish standards for schema evolution, data quality, observability, testing, and lifecycle management.
  • Partner with data science and machine learning engineers on feature generation, feature serving, model inputs, and experimentation infrastructure.
  • Provide technical leadership through architecture decisions, design reviews, incident reviews, roadmap planning, and mentorship.

Requirements

  • 8+ years of experience in data engineering, software engineering, or related platform and infrastructure roles.
  • Deep experience designing and operating production data pipelines, ETL/ELT systems, or data platforms at scale.
  • Strong proficiency in Python and SQL, plus familiarity with Scala or Java.
  • Experience with Snowflake, Databricks, S3, Postgres, Redis, AWS, Kafka, Pulsar, Spark, Terraform, Docker, Kubernetes, or similar technologies.
  • Experience with orchestration, batch and streaming systems, data modeling, incremental processing, testing, observability, high availability, and recovery.
  • Fluent English and legal authorization to work in the EU are required. Willingness to participate in operational support or on-call work is also expected.

Nice to have

  • Experience with multi-tenant or enterprise-scale data delivery.
  • Experience standardizing platforms and designing reusable frameworks.
  • Experience leading architecture across multiple teams and improving operational excellence for business-critical workflows.

Culture & Benefits

  • Highly remote and distributed but collaborative working environment.
  • Competitive salary and meaningful equity.
  • Private medical insurance, life and risk assurance, and a meal allowance of €8.55 per day.
  • 22 days of paid annual leave, paid sabbatical, community days, and a global lifestyle reimbursement account.
  • Complete laptop workstation provided.

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