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2 дня назад

Data Engineer

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

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TL;DR

Mid-Level Data Engineer (Data Engineering): Building and maintaining reliable data pipelines for Bauer Media Audio across multiple European markets with an accent on ETL/ELT process development and data quality implementation. Focus on leveraging Python, Airflow, and cloud data platforms like Snowflake for strategic data enablement and robust data solutions.

Location: Hybrid role based in London

Company

hirify.global is a fifth-generation family-owned media business creating content across print, online publishing, audio broadcasting, and entertainment for millions of people across Europe.

What you will do

  • Design, build, and maintain reliable data pipelines for Bauer’s audio business.
  • Implement and enhance ETL/ELT processes using Python and Airflow to move data into S3 and curated layers.
  • Develop dbt models and tests for BI and analytics use cases, supporting Snowflake, Redshift, and BigQuery workloads.
  • Implement and enhance data quality checks and monitoring in Airflow.
  • Collaborate with senior engineers and business stakeholders on ingestion patterns and data solutions.
  • Participate in Scrum ceremonies, manage work through Jira, and maintain documentation in Confluence.

Requirements

  • Hybrid role based in London.
  • Strong Python and SQL skills.
  • 2+ years of experience in data or analytics engineering roles.
  • Experience with Airflow for workflow orchestration.
  • Proven track record delivering end-to-end data pipelines in a cloud environment (AWS).
  • Hands-on experience with dbt.
  • Familiarity with Git-based workflows and CI/CD practices.
  • English: B2 required.

Nice to have

  • Experience with Snowflake, Great Expectations, or dbt-expectations.
  • Exposure to GCP or Azure.
  • Familiarity with Terraform and semantic layers.

Culture & Benefits

  • Join a collaborative, cross-functional Data & Decision Sciences (DDS) team.
  • Receive 28 days holiday, plus bank holidays and 2 volunteer days.
  • Access internal training and development via Bauer Academy.
  • Benefit from enhanced Maternity/Adoption, Paternity, and Shared Parental Leave Pay.
  • Opportunity for flexible working arrangements.

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