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5 дней назад

Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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 (SQL/Python/PySpark/dbt): Building reliable data foundations and repeatable pipelines for a large-scale migration into a single platform with an accent on ingestion, transformation, validation, and secure data handling. Focus on designing distributed processing workflows, recovering failed pipelines, and maintaining auditable mappings and outcomes.

Location: Leeds, United Kingdom; hybrid working model with some flexible working.

Company

hirify.global is a European technology partner delivering digital solutions for governments, critical industries, and businesses, including responsible AI and business-critical systems.

What you will do

  • Build repeatable processes to receive, unpack, validate, and ingest data from multiple sources.
  • Transform varied source extracts into consistent structures for migration to a single platform.
  • Develop maintainable ingestion and transformation code using SQL, Python, PySpark, and dbt.
  • Implement automated completeness and accuracy checks throughout the migration.
  • Monitor, diagnose, and recover failed or incomplete data processing.
  • Maintain auditable records of sources, mappings, transformations, outcomes, and secure data-handling controls while collaborating with data leads, analysts, platform teams, and source organisations.

Requirements

  • Hands-on experience building and operating reliable data pipelines in a structured migration environment.
  • Experience building and operating data pipelines on Azure, AWS, or Google Cloud.
  • Experience with Spark, PySpark, Databricks, or comparable distributed processing technologies.
  • Experience building modular, tested, and documented transformations using dbt or an equivalent approach.
  • Strong SQL and Python skills for transformations, troubleshooting, validation, and reconciliation queries.
  • Experience scheduling, monitoring, and recovering pipelines with cloud-native or equivalent orchestration tools.
  • Experience with Delta Lake, including transactional tables, schema changes, and repeatable batch loading.
  • Experience using Terraform or equivalent infrastructure-as-code tools to provision and maintain consistent cloud environments.

Culture & Benefits

  • Structured career development supported by a personal mentor from the leadership group.
  • Collaborative, supportive, inclusive teams with equal opportunities for development.
  • Responsible digitalisation focused on secure, transparent, and lasting impact.
  • 25 days’ holiday, private medical healthcare via Vitality, pension contribution, and life assurance.
  • Support for professional certifications, retail discounts, and Employee Resource Groups.
  • Low-bureaucracy, agile, and flexible working culture.

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