Data Analytics Engineer — Build Strategic Data Models (Amsterdam)

Marketing Report (een B2B nieuwsplatform voor marketeers); Amsterdam; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Remote in NL

Amsterdam office

Training budget

Pension plan

Travel reimbursement

Holiday days

MacBook

Home office budget

Job summary

Tellent is seeking a Data Analytics Engineer in Amsterdam to transform raw data into strategic assets for finance, product forecasting, and GTM planning. You’ll own the data logic, build high-performance data models, and act as the bridge between our technical stack and business leadership.

You’ll enable self-service analytics across Finance, Product, and GTM teams. Expect to work with GCP-based pipelines, BigQuery, dbt, and ELT tools, shaping a governed data environment and an AI-ready roadmap

Qualifications

• Solid experience in Analytics Engineering, Data Analysis, or Data Engineering delivering data products for reporting and decision-making.
• Expert in SQL with performant, modular code; Python and Git are advantageous.
• Experience with dbt and BigQuery; ELT tools like Airbyte or Fivetran.

Responsibilities

• Strategic Data Product Ownership: Manage end-to-end lifecycle of internal data products and translate business questions into technical requirements.
• Advanced Analytics Engineering: Design, build, and maintain core data models using dbt Labs for financial reporting, churn forecasting, and reverse-ETL flows.
• Data Governance & Semantic Layering: Implement governance standards and build a semantic layer to ensure consistent metrics company-wide.
• Data Democratization & Enablement: Design training and documentation with RevOps to empower Finance, Product, and GTM teams.
• Collaboration: Serve as data hub, aligning with Data Engineer on roadmap and consulting with Finance, GTM, and Product leaders.

Skills

SQL

Python

Git

dbt

BigQuery

Airbyte

Fivetran

Tools

dbt Labs

BigQuery

Airbyte

Fivetran

Job description

Tellent is seeking a Data Analytics Engineer in Amsterdam to transform raw data into strategic assets for finance, product forecasting, and GTM planning. You’ll own the data logic, build high-performance data models, and act as the bridge between our technical stack and business leadership.

You’ll enable self-service analytics across Finance, Product, and GTM teams. Expect to work with GCP-based pipelines, BigQuery, dbt, and ELT tools, shaping a governed data environment and an AI-ready roadmap