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The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
The Data & AI Software Engineer will build and operate scalable cloud-based data pipelines for analytics and machine learning. The role involves collaborating with cross-functional teams using Python, Scala, Java, SQL, and Spark in an agile environment.
The Data Scientist will design and improve data pipelines, build internal data products, and leverage AI to provide analytics and insights for product teams.
The Data Engineer will design and develop data pipelines and ETL/ELT processes to integrate diverse data sources. The role involves working with technologies including Snowflake, Airflow, dbt, Azure, and Python to build a reliable data platform.
Designs and maintains a scalable, secure cloud-based data platform for DWS Group’s fintech operations, focusing on Snowflake and automation tools to enable data ingestion, transformation, and distribution while ensuring compliance and reliability.
Build and maintain scalable data pipelines for customer identity resolution in a large e-commerce platform using BigQuery, Python, and Airflow.
InnoIT Consulting is seeking a Data Analyst for a hybrid role in the logistics sector, focusing on development tasks using Python, Streamlit, Spark, and DBT. The position involves working within an international team and requires technical English proficiency.
The Senior Data Engineer will design APIs using Python and FastAPI while building data platforms and pipelines. The role involves working within an AI and data-focused environment utilizing AWS and Databricks.
The Senior Data Engineer will design and build high-performance, scalable data pipelines for programmatic advertising, processing millions of transactions in real time while ensuring data compliance.
The Senior Databricks Data Engineer will design and maintain scalable data pipelines using Databricks, Spark, and PySpark. The role involves optimizing data processing performance and ensuring data quality using Delta Lake and Parquet.
Senior Data Engineer building real-time and batch data pipelines for a programmatic advertising platform, using Python, SQL, Kafka, and cloud data warehouses (BigQuery/ClickHouse) on AWS/GCP.
Senior Data Engineer designing and maintaining scalable cloud data pipelines for Mercedes-Benz's Data Driven Pricing initiative, using SQL and AWS to support advanced analytics alongside Data Scientists.
Data Engineer designing and developing ETL/ELT pipelines and evolving a modern data platform using Snowflake, Airflow, dbt, Azure, and Python in a hybrid role based in Badalona.
The Data Engineer will design and maintain data pipelines, manage databases, and deploy machine learning models using GCP, Python, and SQL. The role requires a hybrid presence in San Sebastián de los Reyes and involves working within Agile teams on data-intensive and AI-driven projects.
Keepler Data Tech is seeking a Data Engineer to work on-site in Madrid, focusing on building scalable data pipelines and implementing data governance. The role involves utilizing technologies like PySpark and Palantir to transform data and generate business value.
Builds and maintains cloud-based data pipelines, ETL/ELT workflows, and AI-driven data solutions using Python/SQL to process and transform large datasets for business insights.
Senior Data Engineer owning end-to-end data pipelines and customer identity matching in a complex analytics environment, building scalable workflows with BigQuery, Python, Airflow, and GCP.
Build and own real-time data pipelines on Snowflake, using Python, SQL, dbt, and Terraform to power analytics across payments and rewards in a fintech.
Build and ship full-stack AI-driven applications end-to-end using Python back-end and React front-end.
Full-Stack Engineer building and integrating LLM/MCP-powered agentic workflows into an HR/Payroll product using Node.js, TypeScript, React, and AWS with Kubernetes and Docker.
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