Senior Engineer - Data Modeling & Visualization

Lengow; Barcelona; On-site; EUR 70,000 - 95,000; Full time

Job summary

Lengow is seeking a Senior Engineer — Data Modeling & Visualization to strengthen its semantic modeling, metrics, and dashboard capabilities. You will transform vast catalog and product data into reliable models and clear KPIs for internal and customer-facing data products.

You will own the data layer, collaborate with product and business stakeholders, and ensure reusable data assets rather than ad hoc reports, all within a senior analytics engineering context.

Qualifications

• Proven ability to design analytical models and semantic layers.
• Experience building dashboards for internal and customer-facing use.
• Strong SQL skills and familiarity with modern BI tools.
• Ability to challenge unclear metrics and define KPIs.

Responsibilities

• Own semantic and visualization layer of internal and customer data products.
• Define KPIs, dimensions, facts, grains, filters, and business rules.
• Design reusable analytical models for dashboards and data products.
• Build and improve dashboards in Looker Studio with clarity and performance.
• Translate requirements into modeled datasets, dashboards, and validation rules.
• Write advanced SQL transformations and contribute to dbt workflows.
• Collaborate with Senior Data Engineers on data quality and reliability.
• Ensure reusable data assets replace ad hoc reporting.

Skills

Data modeling

Data visualization

Analytics engineering

Data quality

Stakeholder communication

SQL

Tools

SQL

BigQuery

Google Cloud Platform

dbt

Airflow

Cube.js

Looker Studio

Power BI

MariaDB

PostgreSQL

Talend

Apache NiFi

Job description

Since 2009, Lengow has been the indispensable e-commerce platform for multi-channel expansion in the European market: marketplaces, price comparison websites, affiliate marketing, display ad retargeting, social media, etc.

Our Data team

Join a dynamic Tech, Data & Product team of 50 professionals with diverse expertise. You'll report to the Head of Data and work closely with our Tech, Product, and business teams.

The Data Team is a key driver of innovation at Lengow. From enabling access to insights for employees to creating custom data products for clients, our mission is to transform raw data into business impact. We're expanding our scope and shaping the future of data at Lengow.

What the Data team does

• Empower business decisions with relevant insights and accessible data tools
• Guide product development through data-driven features, metrics, and insights
• Manage and optimize custom data products for clients
• Enhance our data stack and tools for scalability, reliability, and performance
• Cultivate a data-first culture by translating business needs into actionable insights

Your mission

We are seeking a Senior Engineer — Data Modeling & Visualization to strengthen the Data Team's semantic modeling, metrics, and dashboarding capabilities.

With access to vast data — thousands of catalogs, millions of products, and billions of entries scraped from e-commerce websites — you'll help transform complex data into reliable models, clear metrics, and useful dashboards for internal and customer-facing data products.

This role owns the Data Team's semantic and visualization layer: business-facing data models, metric definitions, dashboards, validation rules, and documentation. You will work closely with the Product Manager, who owns Product-side framing, prioritization, stakeholder alignment, and business acceptance. Your role is to translate Product and business needs into reliable models, clear KPIs, useful dashboards, and maintainable data products.

This is a senior technical role at the intersection of analytics engineering, data modeling, and data visualization. It is not a Product Manager role or a pure Data Engineering role. It is also not focused on ad hoc reporting: requests should be turned into reusable, maintainable data assets whenever they create recurring value.

Your key responsibilities

• Own the semantic and visualization layer of Lengow's internal and customer-facing data products
• Define and document KPIs, dimensions, facts, grains, filters, assumptions, and business rules
• Design reusable analytical models and semantic layers across dashboards and data products
• Build and improve dashboards in Looker Studio that are clear, useful, performant, and decision-oriented
• Transform Product and business requirements into modeled datasets, dashboard specifications, validation rules, and documentation
• Write advanced SQL transformations and contribute to dbt workflows
• Collaborate with Senior Data Engineers on upstream data quality, data contracts, performance, reliability, and maintainability
• Challenge unclear metric definitions, incomplete acceptance criteria, misleading visualizations, and one-off requests that should become reusable data products
• Communicate assumptions, limitations, edge cases, feasibility, risks, and trade-offs clearly to technical and non-technical stakeholders

Recruitment Process

• Pre-interview: Chat with Alexandre, Head of People (30')
• Team interview: Meet Sebastien (VP Data) and team members (60')
• Final interview: Present a technical case to Sebastien and Olivier (Chief Product and Technology Officer) (60')

Requirements

We're looking for a senior data professional who combines technical rigor, strong data modeling skills, visualization expertise, and business understanding.

You should be able to understand a business question, challenge vague definitions, design the right analytical model, and deliver a dashboard or data product that can be trusted over time.

Here's what you bring to the table:

• Experience: 5+ years in analytics engineering, data visualization engineering, BI engineering, data engineering, or a similar data role
• Data modeling: strong understanding of facts, dimensions, grains, aggregations, metric definitions, semantic consistency, and business rules
• Data visualization: proven ability to design dashboards that are not only visually clear, but useful for real decisions
• Engineering fluency: advanced SQL, strong analytical rigor, and good understanding of data quality, lineage, testing, and transformation workflows
• Collaboration: ability to work with Product, business stakeholders, and Senior Data Engineers without becoming a substitute Product Manager or a support desk
• Mindset: autonomous, structured, constructive, and able to push back when definitions, requirements, or implementation choices are unclear or unsafe
• Tools & tech: experience with SQL, BigQuery, Google Cloud Platform, dbt, Airflow, Cube.js, Looker Studio, Power BI, MariaDB, and PostgreSQL. Familiarity with ETL/ELT tools such as Talend or Apache NiFi is a plus in our current context

We value your ideas and welcome recommendations on tools, modeling practices, visualization standards, and data product quality.

Bonus points if you

• Know and are passionate about web, e-commerce, marketplaces, retail, SaaS, or product analytics
• Have worked on customer-facing dashboards or data products
• Have experience with semantic layers, metrics layers, or governed KPI frameworks
• Have experience with data contracts or data quality frameworks
• Have strong UX instincts for data products and dashboards

What success looks like

Success will be evaluated through the quality, reliability, adoption, and maintainability of internal and customer-facing data products.

Examples of successful outcomes include:

• Critical KPIs have clear definitions, grains, assumptions, and validation rules
• Dashboards are trusted, documented, actively used, and decision-oriented
• Dashboard logic is implemented in reusable modeled datasets instead of duplicated across reports{ doc to be finished // truncated for brevity ... }}