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Data Engineer building scalable batch and real-time data pipelines, conducting data operations, and developing ML algorithms using Python, SQL, Spark, Kafka, and Kubernetes for Schwarz Digits, the IT division of retail group Schwarz (Lidl/Kaufland).
Drives migration to modern analytics platforms using Microsoft Fabric, transforms legacy systems, develops automation scripts, and collaborates with international teams in a hybrid setup in Barcelona.
The AI/Data Engineer designs and implements data-driven applications, builds modern data architectures (including Data Mesh), and collaborates with business units to create AI/ML use cases for BSH’s home appliance brands, improving data quality and fostering a data-centric culture.
Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Migrates financial stock valuation data from Teradata to Google Cloud using Azure Databricks, building reporting simulations in an agile fintech environment.
Data Engineer / Data Modeler designing conceptual, logical, and physical data models on AWS Cloud to support corporate applications and AI agents, in a hybrid role based in Barcelona.
Designs and automates end-to-end data pipelines integrating heterogeneous sources (internal/external) to build key dashboards for sales analysis in a food/beverage client’s digital transformation project.
Senior Data Engineer maintaining and evolving a corporate Data Lake framework on AWS, building batch and streaming pipelines with Spark, Python, Kafka, and SQL.
Senior Data Engineer building cloud data platforms on AWS, working with Spark, Python, SQL, and various AWS services for data ingestion and pipeline orchestration.
Build and deploy agentic workflows for data engineering teams, enabling AI-assisted modeling, pipeline automation, and analytics while driving adoption across HR-tech product engineering.
En Keepler (part of Accenture) queremos hacer crecer nuestro equipo con personas que tengan ganas de desarrollar software basado en datos con dos objetivos: ayudar en la transformación a nuestros clientes y disfrutar…
Data Engineer designing and building data pipelines with PySpark, Python, SQL, and AWS, orchestrated via Airflow and containerized with Docker/ECS, based on-site in Madrid for a 12-month contract.
Builds and maintains scalable data pipelines using Modern Data Stack tools like Snowflake and dbt, optimizing data platforms for AI-driven projects and digital transformation.
Build and scale high-performance PySpark data pipelines on Databricks to power Lookiero’s personalized fashion-shopping platform, using Python, Delta Lake, and MLFlow.
Associate Data Engineer supports Denodo’s customer success team by learning the Denodo Platform, automating workflows with AI/ML, and assisting in small projects under mentorship.
Lead a Big Data team to deliver departmental milestones, coordinating with team members and communicating with internal stakeholders like product owners and the Head of Platform.
Data Engineer building and maintaining Modern Data Stack pipelines using Snowflake and dbt for a tech services company specializing in data and AI projects.
Builds and maintains data pipelines (Airflow, ETL) for a pharma loyalty-tech firm, integrating real-time pharmacy sales data with AI/ML to drive predictive insights and personalized promotions.
Builds and maintains data pipelines, architectures (Data Lakes/Warehouses), and ETL processes to ensure reliable, clean data delivery for decision-making, collaborating with data scientists and analysts.
Data Engineer role at Puig in Barcelona. The posting provides no technical details about day-to-day responsibilities or core technologies.
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