Data Engineer – Data Products (f/m/div)

WeAreIn for data that powers standout customer experiences.

Do you want to build reliable, scalable data products that connect journeys across every channel?

As a Data Engineer – Data Products on our Digital & Data team, you will design and operate platforms that make customer insights accurate, timely, and actionable. Are you in?

Your Role

Key responsibilities in your new role:

Build and maintain pipelines: Build robust, well‑tested ingestion and transformation pipelines; ensure they run reliably on a regular release cadence with clear ownership and monitoring

Build out the data quality framework: Help design and operationalize our DQ approach automated tests, validation checks, and Write‑Audit‑Publish gates on the gold layer plus the monitoring and alerting that catches issues before consumers do

Develop small data‑collection web apps: Build lightweight internal web apps (e.g. forms, input tools, dashboards) that let business users submit data which feeds directly into our data products. You'll own this simple end‑to‑end frontend, backend, and the pipeline behind them

Data documentation and lineage: Maintain comprehensive docs for models, transformations, and business definitions to ensure data products are transparent, trustworthy, and ready for self‑service consumption

Collaborate across functions: Work closely with data product owners, analysts, business stakeholders and IT/platform teams to translate business needs into well‑modelled, trustworthy data

Your Profile

Qualifications and skills to help you succeed:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Electrical/Computer Engineering, or a related field

At least 2 years of hands‑on experience in data engineering or analytics engineering

Solid SQL and Python/PySpark skills, with proven experience building and optimizing data pipelines and transformations on large datasets

Experience with orchestration tools like Apache Airflow, dbt, Mage AI, Prefect, etc

Proven experience building and maintaining ETL/ELT pipelines in production

Sound understanding of data modelling – especially dimensional modelling (fact and dimension tables); comfort building simple web apps – enough to ship an internal data‑collection tool independently

Good communication and collaboration skills to work with Data Product Owners, IT, and Data Quality roles in a matrix organization

Contact

Mariana Pinho, LinkedIn

Equal Opportunity and Diversity Statement

We embrace diversity and inclusion and are committed to equal opportunities for all applicants and employees.

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