Data Engineer

Data Engineer

The role involves the development and optimization of data pipelines. You will work within Big Data ecosystems to ensure efficient data processing.

Data engineer

Design and develop ETL and data transformation processes while implementing Spark-based pipelines. Provide support for data integration initiatives and ensure overall data quality and performance across the platform.

Data Engineer

Own and scale the central database and knowledge graph that serves as the memory for AI agents and product features. Design ingestion pipelines for funding rounds and market news while ensuring end-to-end data quality and entity resolution.

Data Engineer

Design and build batch and near-real-time data pipelines using PySpark and Databricks within a medallion architecture. You will architect efficient Delta Lake schemas and collaborate with product teams to translate requirements into reliable data enrichment workflows.

Data Engineer

Data Engineer

The role focuses on migrating data from Stratio to Databricks. The engineer will be responsible for managing data pipelines and integration processes.

Data Engineer

Responsible for extracting, transforming, and analyzing data using SQL and Python to design and maintain ETL processes. The role involves developing dashboards and collaborating with stakeholders to translate business needs into analytical solutions.

Data Engineer

The role involves designing, developing, and optimizing PL/SQL procedures, packages, and functions to support data integration and transformation workflows. Responsibilities also include building and automating ETL processes, developing Spring Boot services for data ingestion, and managing Oracle databases for performance and integrity.

SR Data Engineer (AWS)

Design, build, and maintain high-throughput data pipelines and scalable cloud data warehouse architectures for financial transactions. Collaborate with cross-functional teams to implement data quality frameworks, governance standards, and automated CI/CD workflows.

Database Developer / Data Engineer | PostgreSQL + ETL

You will be responsible for designing robust, efficient, and maintainable data models while managing database architecture. Additionally, you will develop and maintain ETL processes for data loading and ensure the integrity and documentation of the data models.

Data Engineer (Senior)

You will design and maintain a central data ecosystem to provide a unified 360-degree view of customers across 60+ brands. This involves building scalable ETL/ELT pipelines and establishing robust data governance frameworks to support business intelligence and AI initiatives.

Data Engineer (CP4D)

The Data Engineer will design, govern, and exploit complex data architectures while implementing solutions using IBM Cloud Pak for Data. They will collaborate with business teams, analysts, and architects to transform requirements into technical data solutions.

Senior Data Engineer (Data Unification)

Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional teams to build new product features.

Senior Data Engineer (Data Harmonization)

The Data Engineer will design, develop, and optimize scalable ETL/ELT processes and data solutions within Google BigQuery. They are responsible for ensuring data consistency, reliability, and auditability across financial and operational reporting domains.

Data Engineer, Remote (EU) – International Client

Design, develop, and maintain scalable data and analytics solutions within Databricks environments using DBT, SQL, and Jinja. Facilitate stakeholder engagement to translate business requirements into robust, high-quality data pipelines and analytical products.

Software Engineer, Data Infrastructure & Acquisition - Madrid, Spain

The role involves managing end-to-end data collection and ingestion pipelines to support large-scale AI model training. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for future products.

Data Engineer III

Develop high-volume data processing jobs across platforms like Spark, Redshift, and Airflow while collaborating with data scientists to turn methodologies into products. You will also identify system bottlenecks to improve efficiency and mentor junior team members on architectural best practices.

AZURE DATA ENGINEER - INGLES – REMOTO

The Data Engineer will work on international banking projects utilizing Azure cloud services to manage and process data. Responsibilities include implementing data pipelines, ensuring security through access controls, and collaborating with a dynamic team.

Senior Clinical Data Engineer

The Senior Clinical Data Engineer will design, develop, and maintain scalable data pipelines to process and transform clinical and medical device data. They will collaborate with cross-functional teams to ensure data quality, consistency, and usability for statistical analysis and evidence generation.

Software Engineer, Data Infrastructure & Acquisition - Malaga, Spain

The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.

Software Engineer, Data Infrastructure & Acquisition - Valencia, Spain

The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the AI team's dataset roadmap.

Data Engineer Fabric

Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage the full data lifecycle, including data modeling, quality assurance, and the development of ETL/ELT pipelines within the Azure and Microsoft Fabric ecosystem.

Senior Data Engineer

Design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory and Databricks. Collaborate with cross-functional teams to implement modern data architectures and ensure data quality, reliability, and performance.

Data Engineer / ETL especializado en Microsoft Fabric

Design and implement data ingestion processes from various sources including databases, APIs, and files. Manage data architecture layers, incremental loads, and semantic modeling for Power BI.

Azure Data Engineer

Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks while ensuring data quality and monitoring. Manage cloud infrastructure and CI/CD deployments using Bicep and Azure DevOps to ensure secure and scalable data solutions.

Data Engineer (Python & PySpark) – 100% Remoto

Design, develop, and optimize robust and scalable data pipelines. Implement efficient ETL/ELT processes to handle large volumes of data.

Data Engineer (Python & PySpark)

The role involves designing and developing robust, scalable data pipelines and ETL/ELT processes to handle large volumes of information. You will also be responsible for optimizing batch processes, managing data models, and collaborating with technical teams in an Agile environment.

Arquitecto/a Big Data Engineer / Architect – Databricks & Mosaic AI

The candidate will design, evolve, and implement advanced data solutions using Databricks. A primary focus will be on developing Generative AI initiatives leveraging the Mosaic AI platform.

Senior Data Engineer (MOSAIC AI)

The Senior Data Engineer will transform Mosaic AI into a self-service, multi-tenant, and regulated platform. Responsibilities include developing agentic AI architectures, creating SDKs, and implementing CLI tools and evaluation patterns.