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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