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Data Engineer Consultant – Cloud Data & Big Data
Build and maintain cloud-based data pipelines and architectures for clients, analyzing needs and delivering insights in agile teams.
Python Developer
Build and evaluate ML/AI models in Python, TensorFlow, and Spark for fintech risk-management use cases, collaborating with cross-functional teams.
Senior Engineer, Data Engineering
Build and maintain AI-driven data pipelines for financial crime detection, using Spark, Python, and big-data tools to process and transform transaction data at scale.
Senior Big Data Engineer
Design and build scalable big-data pipelines using Apache Spark (Scala/Python), Azure Databricks, and Hive to process large datasets for enterprise clients.
Senior Big Data Engineer
Designs, builds, and optimizes **Big Data pipelines** using **Apache Spark (Scala/Python)**, **Azure Databricks**, and **Hive** to process large-scale datasets for clients and startups, while collaborating with cross-functional teams on distributed data architectures and DevOps workflows.
Data Engineer/Inżynier Big Data
Senior Big Data Engineer builds and optimizes distributed data pipelines using Apache Spark, Azure Databricks, and Hive to enable fast analytics for enterprise clients.
Data Engineer - Remoto
Build and maintain AI-driven data pipelines for anti-money-laundering systems, transforming raw financial data into features that power real-time fraud detection for global banks and fintechs.
DevOps Platform Engineer
Build and maintain scalable cloud-native platforms using Kubernetes, Docker, and CI/CD pipelines to automate deployments and infrastructure for enterprise clients.
Senior Backend Spark Developer (Remote from Spain) - UST España & Latam
Build and optimize large-scale Apache Spark data pipelines in Scala/Python, ensuring performance and reliability for a client-facing platform while collaborating across teams.
Sr. Solutions/Presales Engineer - Federal
Senior Solutions/Presales Engineer for BigID’s federal team, designing demos, POCs, and architectures for U.S. agencies to meet compliance needs like FedRAMP and NIST, using Linux, Python, and cloud stacks.
Senior Software Engineer, Platform
Build the data foundation for an AI-native analytics platform that lets regulated industries query enterprise data via natural language with trustworthy results.
Senior Software Engineer, Distributed Data Systems
Build a next-gen OLAP lakehouse platform in Haskell/TypeScript, optimizing JOINs and query execution for agent-driven analytics at a seed-stage AI startup.
Data Engineer Manager
Leads a team that designs, builds, and maintains automated data pipelines in a cloud-native environment, ensuring clean, governed data for analytics and downstream systems using tools like Spark, Airflow, Snowflake, and Databricks.
Data Engineer (Python/SQL)
Builds and maintains scalable data pipelines, ETL processes, and data models using Python, SQL, and big data tools like Spark/Hadoop to ensure data quality and accessibility for business stakeholders.
GCP Data Engineer/Data Architect
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Lead Data Scientist
Lead the design and deployment of enterprise-grade AI systems, including LLMs and RAG pipelines, using Python and cloud-agnostic MLOps across AWS, Azure, and GCP.
Senior Software Developer Data Platform Operation
Builds and operates automation for a next-gen data platform, using Python, Kafka, and Kubernetes to improve reliability and observability, while integrating agentic AI for incident triage and proactive recommendations.
Data Scientist
Build predictive models and advanced analytics to inform housing policy and risk decisions using Python/R, SQL, and big-data tools like Spark.
Senior Big Data Platform Engineer
Design and optimize large-scale data pipelines using Hadoop and streaming tech, with a focus on secure governance and Linux/Python scripting for payments or trading systems.
Senior Data Engineer & Architect — Lead & Build Pipelines
Design and build scalable data pipelines and architectures using SQL, Python, Hadoop, and Spark to deliver business insights in a fast-paced AI company.