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Data Engineer (Contract)
Build and maintain database views in Amazon Redshift and Databricks to support analytics and reporting for Guild Wars game series.
Senior Data Engineer: Build Modern Data & AI Platforms
Senior Data Engineer designs and builds scalable data pipelines and analytics solutions using Microsoft Fabric, Databricks, and Azure for enterprise clients.
Senior Data Engineer
Build and deploy modern data platforms using Microsoft Fabric, Databricks, and Azure, integrating AI/GenAI to turn raw data into business value for enterprise clients.
Sr. Manager, Data Platform Engineering
Lead a team building and operating a modern cloud lakehouse (Databricks-based) for home-security company SimpliSafe, migrating off legacy systems while ensuring reliability, cost control, and self-service tooling.
Product Strategy Manager
Drive streaming/media packaging strategy by analyzing content economics, churn, and competitive positioning to optimize consumer bundles and pricing.
Gerente / Service Delivery Manager Data – Barcelona ó Madrid (Cliente Final)
Lead data-engineering and cloud-analytics projects, manage client relationships, and grow a data practice by selling and delivering solutions on Azure, GCP, AWS, Snowflake and Databricks.
Data Scientist / Analyst
Build and optimize RAG pipelines and vector databases to solve real customer challenges using Python, Azure, and Databricks in a hybrid Barcelona role.
Senior Data Engineer - ODS
Design and build scalable Spark-based data pipelines in AWS to power analytics and ML for a large bank’s digital platform, using PySpark/Scala and cloud-native services.
Data Engineer
Design and build cloud-native data pipelines on Google Cloud Platform, focusing on BigQuery, to create AI-ready datasets and trusted data foundations for analytics and machine learning across the enterprise.
Data Engineer
Build and run scalable data pipelines that connect industrial systems (sensors, PLCs) to Azure/Databricks, enabling ML models and analytics for production, energy and logistics efficiency.
Data Platform DevOps Engineer- 50% TW (Madrid)
DevOps engineer maintains and optimizes a cloud-based data platform for a fintech client, automating deployments, monitoring performance, and managing Kubernetes clusters.
Data Platform Engineer: Scale Lakehouse for Analytics & AI
Build and scale a Databricks lakehouse on AWS to power analytics and AI for a B2B SaaS company, writing Python ETL pipelines and maintaining data infrastructure.
Senior Data Platform Engineer (Fixed Term Contract)
Build and run a secure, cloud-native data platform on AWS to power analytics and AI for a logistics software company.
Data Platforms Software Engineer
Build and maintain cloud-based data infrastructure for energy market modeling, ensuring fast, reliable access to terabyte-scale datasets for global power grid simulations.
Lead Data Platform Engineer - Lakehouse & Spark (Remote)
Lead the design and build of a large-scale data platform using Spark, PySpark, SparkSQL and Microsoft Fabric, plus data governance and API integrations.
AWS Data Platform Engineer – Cloud Data & ML Infra (Hybrid)
Design and operate an AWS-based data platform for freight/logistics, building secure, cost-efficient pipelines and infrastructure using IaC and ML tooling.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases.
AWS Data Platform Engineer (Ref: 197468)
Build and run an AWS-based data platform for freight/logistics analytics and ML, using IaC and CI/CD to ensure secure, cost-effective data flows from ingestion to serving.
Data Platform Engineer: AWS, Databricks & Lakehouse
Build and scale a data lakehouse on AWS and Databricks to enable data commercialization for a proptech company.
Cloud Data Platform Engineer – Analytics & Streaming
Designs and scales cloud-based data platforms for batch and real-time analytics, building pipelines and streaming architectures using AWS/GCP/Azure, Spark, Kafka, and Python.