Data Engineer

Analytics / Data Engineer (End-to-End Data Products)

📍 Barcelona (Hybrid, 1–2 days per week in the office)

Language: English, Spanish is a plus

About the role

We are looking for an Analytics / Data Engineer to join a data team at a multinational company based in Barcelona. You will play a key role in designing and building the entire data ecosystem from scratch — from ingestion and streaming to data modeling, analytics, and visualization.

This is not a purely backend role. We are looking for someone with a product mindset applied to data, capable of transforming raw data into meaningful dashboards, reporting applications, and analytical products that create real business impact.

You will work in an event-driven, near real-time architecture.

What you will do

• Design, build, and maintain end-to-end data pipelines and data products.
• Develop ingestion and transformation workflows using Python, Spark (PySpark), and SQL.
• Build and evolve analytics-oriented data models for business consumption.
• Design and implement dashboards and reporting solutions, focusing on usability and business value.
• Work in event-driven and near real-time architectures, leveraging Solace-based messaging.
• Integrate data from APIs, streaming devices, and cloud systems.
• Collaborate with business stakeholders to translate requirements into data products and visual analytics solutions.
• Ensure data quality, observability, governance, and reliability across the full data lifecycle.
• Contribute to architecture design decisions in a greenfield environment.
• Work closely with platform and cloud teams on Azure-based infrastructure.
• Promote best practices in data engineering, analytics, and visualization delivery.

What we are looking for

• Strong experience as Analytics Engineer or Data Engineer, with end-to-end delivery ownership.
• Hands-on expertise with Databricks, Spark/PySpark, and SQL.
• Solid experience in Microsoft Azure cloud environments (ADF, Data Lake, Synapse, or similar).
• Experience building data pipelines in greenfield or highly evolving environments.
• Experience with event-driven / streaming architectures (Solace or similar).
• Strong knowledge of cloud data platforms (Snowflake, BigQuery, Redshift, Synapse, Databricks Lakehouse, etc.).
• Ability to build business-oriented analytics products (dashboards, semantic layers, reporting systems).
• Experience with data visualization tools (Power BI, Tableau, Looker or similar).
• Strong SQL skills (data modeling, transformations, performance tuning).
• Ability to work across the full stack: ingestion → transformation → modeling → visualization.
• Fluent in English.

Soft skills & mindset

We are looking for professionals with:

• Strong ownership and autonomy in end-to-end delivery.
• Ability to thrive in greenfield and ambiguous environments.
• Strong product mindset applied to data (not just pipelines).
• High technical maturity and pragmatic problem-solving approach.
• Strong communication skills to translate business needs into data solutions.
• Humility and honesty, with the ability to acknowledge knowledge gaps while learning fast and building trust across teams.