Data Engineer (Google Cloud & Digital Analytics)

Riverflex; Amsterdam; Hybrid; EUR 96,000 - 165,000; Full time

Job summary

Riverflex is seeking a senior Data Engineer for a freelance interim role in Amsterdam. You will own the data platform, model data on BigQuery with dbt, and evolve pipelines on Google Cloud while collaborating directly with marketing, digital and analytics teams.

You will lead data architecture decisions, mentor peers, and ensure production-grade delivery with CI/CD and IaC. Fluency in English and EU-work eligibility are expected for this role.

Qualifications

• Substantial commercial experience as a data engineer with a track record of owning a production data platform.
• Deep hands‑on experience with Google Cloud Platform, and BigQuery in particular.
• Strong data modelling skills with dbt.
• Confident with Python and advanced SQL.
• Experience with workflow orchestration (Airflow, Cloud Composer or equivalent) and modern engineering practice — version control, CI/CD, infrastructure as code.
• Practical experience working with digital analytics data, particularly Google Analytics 4 and Google Tag Manager.
• Able to work independently with business stakeholders and translate commercial questions into technical solutions.
• Eligible to work in the EU and able to contract on a freelance basis.

Responsibilities

• Data modelling and warehousing: design, build and maintain data models using BigQuery and dbt; keep the modelling layer clean and scalable.
• Platform and pipelines: own and evolve the data engineering architecture on Google Cloud Platform; build and optimise ingestion and transformation pipelines with orchestration and CI/CD.
• Digital and marketing data: integrate and model digital analytics data so it is usable for reporting and activation; work with marketing and digital teams.
• Machine learning enablement: support deployment and operation of ML models, getting models into production and keeping them there.
• Technical leadership: set engineering standards and mentor colleagues.

Skills

Google Cloud Platform

BigQuery

dbt

Python

SQL

Airflow

CI/CD

Infrastructure as Code

GA4

GTM

Mentoring / leadership

Dutch language

Tools

Airflow

Cloud Composer

Git / version control

Terraform / IaC

Google Analytics 4

Google Tag Manager

Job description

Freelance / Interim | Hybrid (Amsterdam, Netherlands) | Start: December 2026

Our client is a well‑known Dutch consumer brand with a mature digital business and an ambitious data agenda. Their digital function runs on Google Cloud, with a BigQuery warehouse serving analytics, marketing activation and a growing set of machine learning use cases. You join as the data engineer for that function, taking over a platform that is already live and well‑used — and taking it further.

This is a hands‑on, high‑ownership role. You are the technical owner of the digital data architecture, working directly with marketing, digital and analytics stakeholders rather than through layers of process. You set the standards for how data is modelled, how pipelines are built, and how models reach production.

About Riverflex

Riverflex was founded in Amsterdam and London in 2018, eventually growing into a global team of consultants united by a mission to help courageous leaders drive transformative change. Today, we offer an integrated service through three service pillars: strategy and transformation consulting that Creates Change, talent services that Build Teams, and business‑accelerating products that Augment Intelligence. For more information, visit www.riverflex.com.

Responsibilities

Data modelling and warehousing

• You design, build and maintain the data models that sit at the heart of the warehouse, using BigQuery and dbt.
• You keep the modelling layer clean, documented and scalable as new sources and use cases arrive.

Platform and pipelines

• You own and evolve the data engineering architecture on Google Cloud Platform.
• You build and optimise ingestion and transformation pipelines, including orchestration and CI/CD.
• You keep the platform reliable, observable and cost‑efficient.

Digital and marketing data

• You integrate and model digital analytics data — Google Analytics 4, tag management, campaign and customer data — so it is usable for reporting and activation.
• You work directly with marketing and digital teams to turn their questions into dependable data products.

Machine learning enablement

• You support the deployment and operation of machine learning models, handling the engineering side of getting models into production and keeping them there.

Technical leadership

• You set engineering standards and bring others along, offering guidance and mentorship to colleagues working alongside you.

Job requirements

• Substantial commercial experience as a data engineer, with a track record of owning a production data platform rather than contributing to one.
• Deep hands‑on experience with Google Cloud Platform, and BigQuery in particular.
• Strong data modelling skills with dbt.
• Confident with Python and advanced SQL.
• Experience with workflow orchestration (Airflow, Cloud Composer or equivalent) and modern engineering practice — version control, CI/CD, infrastructure as code.
• Practical experience working with digital analytics data, particularly Google Analytics 4 and Google Tag Manager.
• Able to work independently with business stakeholders and translate commercial questions into technical solutions.
• Eligible to work in the EU and able to contract on a freelance basis.

The following are a plus:

• Experience deploying and operating machine learning models in production (MLOps).
• Background in retail, e‑commerce or another consumer‑facing sector.
• Experience mentoring or leading other engineers.
• Fluency in Dutch.

Why this role

You take full technical ownership of a data platform that is already central to how the business operates, with the autonomy to shape where it goes next. The stack is modern and the work is genuinely varied — warehouse modelling one week, getting a model into production the next. It suits someone who wants to be the person the business comes to, not one engineer among twenty.

We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital status, medical condition, or disability. Even if you believe you do not tick all the aforementioned requirements for the role, we still encourage you to take the time to apply.