# Data Analytics Engineer

**Company**: Tellent
**Location**: Amsterdam
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: EUR 70000–90000 / year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://careers.tellent.com/o/data-analytics-engineer
**Canonical**: https://yubhub.co/jobs/job_528bf454-d13

## Description

We are seeking a Senior Analytics Engineer to join our team. As a key member of our data organization, you will be responsible for transforming raw data into a strategic asset by designing high-performance data models that power our financial reporting, product forecasting, and GTM strategy.

Your 12-Month Journey

During the first 3 months, you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt), core business data models, and understand the current pain points in our data flow. You will deliver and optimize your first high-priority models for product usage and financial reporting. You will partner with the Data Engineer to align on the new infrastructure roadmap.

Within 6 months, you will implement a robust semantic layer to standardize KPIs across the company and enable AI-readiness and advanced natural language querying.

After 1 year, you will fully own the company's data modeling architecture, ensuring it is prepared for AI and machine learning applications. You will act as a strategic advisor to department heads, using data to help shape the company's long-term growth and forecasting strategies.

What You'll Be Doing

Strategic Data Product Ownership: Manage the end-to-end lifecycle of our internal data products. You will partner with stakeholders to translate complex business questions into technical requirements, selecting the right tools to ensure our reporting is scalable, accessible, and high-impact.

Advanced Analytics Engineering: Design, build, and maintain our core data models using dbt Labs. You will own the logic for mission-critical datasets, including financial reporting, churn forecasting, and reverse-ETL flows that sync warehouse data back into our business tools (e.g., Planhat, HubSpot).

Data Governance & Semantic Layering: Act as the guardian of 'The Truth.' You will implement data governance standards and build our semantic layer to ensure metrics are consistent across the company.

Data Democratization & Enablement: In collaboration with RevOps, you will design and deliver training programs and documentation. Your goal is to empower users across Finance, Product, and GTM to independently navigate data products and derive their own insights.

Collaboration: You will be the central hub of our data organization. You will work daily with the Data Engineer to align on the roadmap, while frequently consulting with Finance, GTM, and Product leaders to ensure our data products solve their most pressing problems.

What You Bring

Solid experience in Analytics Engineering, Data Analysis, or Data Engineering, with a track record of independently delivering data products that enable reporting, decision-making, and CDP use cases.

You are an expert in SQL and understand how to write performant, modular code. Familiarity with Python and Git for optimizing and versioning data transformations is a significant advantage.

Deep, hands-on experience with dbt and BigQuery is a must. You should also be comfortable navigating ELT tools like Airbyte or Fivetran.

Commercially savvy: you understand the business. You can spot opportunities where data can improve ARR, reduce churn, or optimize spend.

You thrive in fast-paced environments and are comfortable creating structure out of the uncertainty of a scaling company.

Strong project management and stakeholder management skills. You are a 'bilingual' communicator who can discuss warehouse schemas with an engineer and ARR growth with a CFO.

Fluency in English, both written and spoken, at a minimum C1 level

What We Offer

Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam

A chance to be part of and shape one of the most ambitious scale-ups in Europe

Work in a diverse and multicultural team

€1,500 annual training budget plus internal training

Pension plan, travel reimbursement, and wellness perks

28 paid holiday days + 2 additional days to relax in 2026

Work from anywhere for 4 weeks/year

An inclusive and international work environment with a whole lot of fun thrown in!

Apple MacBook and tools

€200 Home Office budget

## Skills

### Required
- SQL
- dbt
- BigQuery
- Airbyte
- Python
- Git
- ELT tools
- Data governance
- Semantic layering
- Data democratization
- Enablement
