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Software engineer building high-performance advisory suite (block trading, portfolio management, retirement accounts) across full-stack and distributed systems for a fintech startup.
LEVUP is seeking a Full Stack Developer to design, develop, and maintain critical store and e-commerce applications using Java and React. The role involves modernizing existing platforms and integrating CI/CD pipelines to ensure high software quality.
JEMS is seeking a Full-Stack Developer to work on data management and exploitation projects for large corporate clients. The role involves building and managing data assets using Java and Angular technologies.
We are a Boston-based property management company working with real estate investors, landlords, and HOA boards. We’re looking for a Sales Lead who can generate opportunities, build relationships, and close deals — not…
The Service Delivery Manager at Synapsys is responsible for managing IT service delivery, optimizing service catalogs, and ensuring compliance with SLAs for internal clients. The role involves process management, reporting, and stakeholder coordination within a consulting environment focused on IT infrastructure transformation.
Lead a data team and serve as the technical reference for designing, industrializing, and deploying AI models to production, while mentoring staff and collaborating with Product and Tech on pipelines and KPIs.
The Data & AI Architect will design and implement scalable data platforms and AI solutions, including GenAI and agent systems, within a cloud environment. The role involves collaborating with cross-functional teams to translate business requirements into robust technical architectures.
The DevOps & BI Engineer will support data and BI projects for AXA GIE, working with MS On-Premise and Azure Cloud environments. The role involves managing data pipelines, ETL processes, and database systems using Azure DevOps.
The Data Platform Engineer will manage, migrate, and automate Cloudera and CDP environments in Toulouse. The role focuses on ensuring platform performance, security, and observability using tools like Ansible and CI/CD pipelines.
The Data Product Engineer will build and scale data analytics solutions for the agricultural and livestock sector, translating business needs into actionable metrics. The role involves end-to-end development using Python, Airflow, dbt, ClickHouse, and Cube.js to support Industry 4.0 and AI-driven decision-making.
This Data Engineer role involves designing, developing, and maintaining robust data pipelines within a Google Cloud Platform environment. The position focuses on data transformation and optimization using BigQuery to support retail business analytics.
Data Test Engineer on Big Data/Datalake, driving end-to-end test strategy (manual and automated), quality reporting, and defect tracking within a SAFe/Agile environment.
This role involves leading the design, deployment, and governance of modern data platforms using Snowflake, BigQuery, and Databricks. The candidate will manage teams, automate processes, and ensure data security and quality.
Senior Data Engineer at EY FABERNOVEL leading the design, deployment, and governance of modern data cloud platforms (Snowflake, BigQuery, Databricks), automating ELT pipelines, coaching teams, and optimizing cloud costs using GitLab CI/CD, DBT, and Python.
ML Engineer designing, developing, and deploying machine learning models using Python and its data science ecosystem, building ETL data pipelines and production-grade AI solutions.
The Cloud Data Engineer / AWS DevOps will design and maintain data pipelines, ETL processes, and cloud infrastructure for international industrial projects. The role balances 60% data engineering tasks using Snowflake and AWS services with 40% DevOps responsibilities including Terraform, CI/CD, and containerization.
The Cloud Data Engineer & AWS DevOps role involves developing and modernizing data platforms for international projects. The position requires expertise in AWS, Snowflake, Terraform, and containerization technologies like Docker and Kubernetes.
The Lead Data QA Engineer will design and implement testing and validation strategies for data projects while collaborating with development teams to ensure product quality. The role requires expertise in data testing tools, machine learning, and project management methodologies.
The Data Engineer will design and scale a modern data platform at SEVETYS, focusing on data ingestion, transformation, and governance using SQL and DBT to support business decision-making.
The Data Engineer will design, industrialize, and maintain data pipelines within a secure AWS and Snowflake cloud environment. The role involves working closely with data, DevOps, and architecture teams to ensure high-performance data ingestion and processing.
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