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1 день назад

Data Engineer (Azure Databricks) in the EU

2 800 - 4 550
Формат работы
remote (только Europe)/hybrid/onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
France/Norway/Poland +26 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR
Data Engineer (Azure Databricks) in the EU (Azure Databricks/Spark/Delta Lake): Building and maintaining multi-layer data pipelines and scalable data products for drug development with an accent on data ingestion, schema management, orchestration, and governance. Focus on implementing reliable production workflows, monitoring data freshness and pipeline health, and maintaining traceability across controlled Dev, Test, and Prod environments.

Location: Remote, office-based, or hybrid work in the listed European countries: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Hungary, Italy, Kosovo, Latvia, Lithuania, Luxembourg, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and The Netherlands.

Salary: EUR 2,800–4,550 gross per month. Final compensation depends on experience, location, and professional growth.

Company

hirify.global is an outsourcing company delivering technology projects for international clients across multiple industries, including life sciences and healthcare.

What you will do

  • Build and maintain multi-layer Landing, Raw, Enriched, and Curated data pipelines on Azure Databricks using Spark and Delta Lake.
  • Orchestrate Databricks Jobs and Workflows with dependencies, retries, alerts, and failure handling.
  • Implement batch and API-based ingestion, schema enforcement, schema-drift handling, and ingestion-time data quality checks.
  • Use dbt for pipeline observability, data governance, modular models, tests, and documentation.
  • Monitor job failures, data freshness, pipeline health, and SLA-based delivery targets.
  • Maintain controlled Dev, Test, and Prod environments, including access control, audit trails, logging, documentation, and traceability.

Requirements

  • 4+ years of commercial Data Engineering experience.
  • Strong hands-on experience with Azure Databricks, Spark, Delta Lake, dbt, and multi-layer data pipelines.
  • Experience with Databricks Jobs or Workflows, batch and API-based ingestion, schema management, data quality checks, alerting, logging, and retry strategies.
  • Experience with access control models, data contracts, audit trails, data lineage, segregation of duties, and traceability between requirements and implemented solutions.
  • Experience working across controlled Dev, Test, and Prod environments and delivering against defined SLAs.
  • English: Upper-Intermediate or above required.

Nice to have

  • Experience with Azure ecosystem integrations, SAP S/4HANA, Microsoft 365, SharePoint, Git-based CI/CD, and DevOps practices.
  • Experience with MLOps and AI pipelines on Databricks.
  • Experience in regulated domains such as GxP, clinical trials, pharmacovigilance, pharmaceutical, or biotechnology industries.
  • Knowledge of dimensional modeling, star schemas, One Big Table approaches, curated data marts, Tabular Editor, and metadata-as-code.
  • Experience with Power BI dataset design, performance optimization, and KPI and semantic consistency.

Culture & Benefits

  • Remote, office-based, and hybrid work options are available in the listed European countries.
  • Professional, financial, and career development supported by mentoring, onboarding, and a corporate training portal.
  • Opportunity to change projects and develop expertise in different business domains.
  • Up to an additional EUR 1,000 per month may be earned through company activities and included in the annual bonus.
  • Certification compensation, referral program, private health insurance, and sports compensation depending on employment type.
  • Corporate social activities and employee events.

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