Talan Group
Open positions
Spark Data Engineer - ETL, Data Quality & AI Tools
Talan Group is seeking a Big Data Developer based in Buenos Aires, Argentina, to design and maintain data processing solutions for the Client Contribution platform. The role emphasizes building robust data pipelines,…
Spark-Powered Big Data Engineer
Build, maintain, and optimize ETL processes and Spark-based data pipelines for a Client Contribution platform, collaborating with stakeholders in an Agile environment and supporting reporting with Qlik Sense.
Semi Senior Java/C++ Developer
Develop and debug Java/C++ applications for market-risk systems, remediate vulnerabilities, and analyze calculation engine traces in Linux environments.
Fullstack Developer (Python/React) - 6 month project
Build and maintain a React/Python fullstack AI-driven trading app using microfrontends, microservices, and AWS Lambda for a major banking client.
Spark Data Engineer – ETL, Data Quality & AI Tools
Builds and optimizes ETL pipelines, ensures data quality, and collaborates in Agile teams using Scala, Python, or Java.
Senior Java Developer - Big Data Backend (Remote)
Design and maintain Java-based microservices for a regulated fintech backend, optimizing SQL queries and contributing to CI/CD pipelines with Kubernetes.
Big Data Engineer: Spark, ETL & Data Pipelines
Designs and builds scalable ETL pipelines and data processing systems using Spark to handle large datasets with high performance and data quality.
Senior Backend Spark Developer
Senior backend engineer building and optimizing large-scale data pipelines with Apache Spark and Scala/Python to power financial IT systems and cross-country operations.
Senior Java Developer - Big Data Backend (Remote)
Builds and maintains Java-based microservices for large-scale financial data platforms, using Kubernetes and SQL databases in a regulated environment.
Data Engineer Senior - Expert Dataiku - CDI - H/F
Senior Data Engineer role at Talan, building and optimizing data pipelines, visualizations, and ML models using Dataiku, Python, Spark, and cloud tools to deliver business insights and POCs.
Data Engineer Snowflake (confirmé/sénior) - H/F - CDI
Build and optimize Snowflake-based data pipelines and cloud data models for enterprise clients, using SQL, Python, and cloud platforms like AWS.
Data Engineer Databricks confirmé - H/F - CDI
Build and optimize large-scale data pipelines on Databricks and Spark, integrating raw data into clean, accessible datasets for analytics and ML workloads.
Senior Data Engineer – Snowflake & Cloud Data Platform
Senior Data Engineer designs and builds Snowflake-based cloud data pipelines and data models using SQL/ETL for a tech-consulting firm.
Data Engineer Cloud Confirmé / Senior (F/H)
Senior Data Engineer builds and optimizes cloud-based data pipelines for clients in energy, transport, finance, and healthcare, using Spark, Kafka, and cloud platforms like Azure/GCP.
Senior Real Time Java developer (Brazil)
Build and maintain real-time FX trading systems in Java, occasionally extending Node.js components and integrating via FIX protocol.
Spark Data Engineer – ETL, Data Quality & AI Tools
Designs and maintains ETL pipelines and data-quality checks for a client-contribution platform using Spark, Scala/Python/Java, and SQL in an Agile team.
Lead Data & Cloud Engineer (F/H)
Lead a team building cloud-based data pipelines and warehouses using Databricks, Snowflake, and Azure Fabric to deliver analytics and AI solutions for enterprise clients.
Data & Cloud Engineer Confirmé - Big Data, Spark & DevOps
Build and maintain scalable data pipelines and cloud infrastructure using Spark, SQL, and DevOps practices for enterprise clients.
Data Engineer Senior - Expert Dataiku - CDI - H/F
Senior Data Engineer role using Dataiku to design data pipelines, build visualizations, and advise clients on AI/ML solutions with Python, Spark, and cloud platforms.
Consultant Data Engineer Databricks - Confirmé - H/F
Consultant Data Engineer designs and implements Databricks-based data pipelines and analytics solutions for clients, optimizing Spark jobs and architectures while advising on best practices.