Analytics Engineer: AI-Driven Data Pipelines in Snowflake

DDBM

Amsterdam

Hybrid

EUR 45,000 - 70,000

Full time

4 days ago
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Benefits offered by this job

Profit-sharing
Training budget
Certifications
AI tools access
28 vacation days
Hybrid work
Retirement plan

Job summary

DDBM, a Data & AI consultancy in Amsterdam, seeks an Analytics Engineer to transform raw data into decision-ready assets and operations. You’ll build scalable models and pipelines using dbt and Snowflake, and translate business needs into robust data solutions.

You will collaborate with analysts and clients, applying AI tools to increase speed and accuracy, while contributing to a hybrid work setup and ongoing certifications.

Qualifications

  • 3+ years in Data Engineer / Analytics Engineer roles
  • Hands-on with dbt and Snowflake in production
  • Strong SQL and Python proficiency
  • Knowledge of data modelling and Medallion architecture
  • Familiar with Git, CI/CD, Agile
  • Analytical and proactive
  • Good communication in Dutch and English

Responsibilities

  • Build and maintain scalable data models and pipelines in dbt and Snowflake.
  • Define semantic layer with KPIs, metrics, and business logic in code.
  • Deliver clean Gold-layer datasets for Tableau, Sigma, Power BI, etc.
  • Write complex SQL and Python for ETL and data quality checks.
  • Use AI tools (Claude, GitHub Copilot) to boost productivity.
  • Collaborate with analysts and clients to translate data needs into technical solutions.
  • Develop domain knowledge with clients to align models with business practices.

Skills

dbt
Snowflake
SQL
Python
Data modelling
Git
CI/CD
Agile
Dutch/English

Tools

dbt
Snowflake

Job description

DDBM, a Data & AI consultancy in Amsterdam, seeks an Analytics Engineer to transform raw data into decision-ready assets and operations. You’ll build scalable models and pipelines using dbt and Snowflake, and translate business needs into robust data solutions.

You will collaborate with analysts and clients, applying AI tools to increase speed and accuracy, while contributing to a hybrid work setup and ongoing certifications.

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