Remote Analytics Engineer — AI-Ready BI & Data Modeling

Hub

København

Hybrid

DKK 480,000 - 750,000

Full time

4 days ago
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Benefits offered by this job

Parental leave
ESOP
Flexible hours
Remote work options
Online therapy

Job summary

Podimo, Europe’s leading podcasting platform, is seeking an Analytics Engineer to join the BI team. You will build scalable data models and self-service analytics across the organization, enabling AI-ready insights and automated workflows.

You will collaborate with analysts, data engineers, and AI engineers to deliver robust data solutions, dashboards, and a semantic layer while optimizing data warehouse costs. This role offers offices in Copenhagen, Berlin or Amsterdam with a hybrid setup.

Qualifications

  • 1–3 years of experience in BI, data or analytics engineering in fast-paced environments.
  • Strong experience with SQL, dbt, BigQuery, Git, and data visualization tools (Looker).
  • Good understanding of data modelling and data warehousing principles.
  • Experience writing dbt tests and unit tests with a focus on data quality.

Responsibilities

  • Collaborate with business teams, analysts, and AI engineers to translate needs into data solutions.
  • Transform and model data sources using dbt, SQL, BigQuery, and Looker/LookML.
  • Develop and maintain dashboards and self-service tools for data-driven decisions.
  • Drive AI-assisted workflows and manage dbt repository context for AI features.
  • Create a robust semantic layer with clear metric definitions and documentation.
  • Optimize BigQuery costs and implement partitioning and incremental processing.

Skills

SQL
dbt
BigQuery
Looker
Python
Airflow
Data modelling
Communication

Tools

Git

Job description

Podimo, Europe’s leading podcasting platform, is seeking an Analytics Engineer to join the BI team. You will build scalable data models and self-service analytics across the organization, enabling AI-ready insights and automated workflows.

You will collaborate with analysts, data engineers, and AI engineers to deliver robust data solutions, dashboards, and a semantic layer while optimizing data warehouse costs. This role offers offices in Copenhagen, Berlin or Amsterdam with a hybrid setup.

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