Data Engineer

Barcelona (Hybrid, 1-2 days per week in the office)Language: English, Spanish is a plusAbout the roleWe 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 doDesign, 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 forStrong 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.Desired qualitiesStrong 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.#J-*****-Ljbffr

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. Desired qualities 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. #J-*****-Ljbffr