TL;DR
Analytics Engineer: Designing and building dimensional data models and dbt pipelines for business-ready data, focusing on creating a consistent semantic layer for reliable reporting and analytics. Focus on modernizing data estate, implementing data quality checks, and collaborating with cross-functional teams.
Location: London-based with a hybrid model (2 days per week in the office)
Company
hirify.global is a family-owned media business focused on creating content for millions of people across Europe, spanning print, online publishing, and audio broadcasting.
What you will do
- Design and build dimensional data models and marts using dbt and Kimball principles.
- Develop and maintain dbt pipelines for transforming raw data into gold-layer marts.
- Define and maintain a semantic layer for consistent metrics across BI tools.
- Contribute to the migration from Redshift/BigQuery to Snowflake.
- Implement data quality checks using dbt tests and Great Expectations.
- Collaborate in agile squads, participate in code reviews, and maintain documentation.
Requirements
- Strong SQL skills (Redshift or BigQuery experience; Snowflake preferred).
- Hands-on experience with dbt (models, tests, production environments).
- Solid understanding of dimensional modelling (Kimball-style).
- Familiarity with semantic layer design and BI tools (Looker, Power BI).
- Practical Python experience for data engineering tasks.
- Agile team experience (Jira, Confluence) and Git-based workflows.
- Cloud experience (ideally AWS).
Nice to have
- Advanced Snowflake experience.
- Exposure to Airflow, Great Expectations, and dbt-expectations.
- Familiarity with Tableau and multi-tool BI environments.
- Knowledge of CI/CD, Infrastructure-as-Code (Terraform).
- Industry experience in media, digital audiences, or subscription businesses.
Culture & Benefits
- You'll have 28 days holiday, bank holidays & 2 volunteer days to use.
- Access to internal training via Bauer Academy.
- Enhanced Maternity/Adoption, Paternity and Shared Parental Leave Pay.
- Opportunity for flexible working.
- Commitment to ensuring an inclusive and accessible recruitment process.
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