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Build AI-driven chatbots and Big Data solutions using Python for B2B/B2C projects in a fast-moving product team.
Build and deploy cloud-based data analytics solutions for enterprise clients, designing architectures, optimizing pipelines, and mentoring teams on modern data stacks and AI engineering practices.
Build and optimize modern data pipelines and platforms using Snowflake and Databricks, then activate customer data in CRM/CDP systems like Salesforce and Adobe for marketing use cases.
Data Engineer building PySpark pipelines and Dataiku workflows to ingest, transform, and expose financial data for a large client, using cloud-based data lakes and CI/CD.
Build and maintain Alma’s data architecture, ensuring reliable and performant cloud-based data pipelines and systems.
Designs scalable cloud data architectures and builds data pipelines using Python, SQL, and Snowflake for JAKALA’s AI and analytics products.
Senior Data Engineer builds Python-based data pipelines, APIs, and CI/CD workflows for CRM/ERP integrations, automating data flows and deploying cloud solutions for clients.
Build and maintain Java-based data pipelines and research platforms for government and cultural-sector projects.
Build and maintain GCP-based data pipelines and services in Python (Flask) to power customer analytics, using Terraform and CI/CD for secure, scalable deployments.
Build and optimize high-performance Rust-based data pipelines and distributed systems for AI model training, focusing on memory management, concurrency, and code review.
Build and deploy scalable data and AI pipelines using Snowflake, Airflow, and Spark to support clients' data platforms.
Build and maintain a scalable data-integration platform for a retail company using microservices, orchestration, and DevOps practices.
Builds and maintains finance-focused data pipelines and BI dashboards using SQL, Databricks, Git, and Power BI to deliver actionable insights for commercial tools.
Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Builds and maintains secure, high-performance data-exchange infrastructure for aerospace/defense simulations and analytics using Python/C++/Rust, REST/GraphQL APIs, and relational/graph databases.
Owns and builds data pipelines to transform product features into accurate reporting for advertisers using SQL, data modeling, and orchestration tools like Dagster or Airflow.
Design and maintain scalable data pipelines using Python, PySpark, and Spark Streaming to process batch and real-time data for high-quality datasets.
Build and maintain data pipelines, dashboards, and predictive models to optimize the performance of Rexel’s eCommerce site using Qlik, Python, and web analytics tools.
Build and maintain data pipelines, dashboards, and predictive models to optimize Rexel’s eCommerce site performance, using Qlik, Python, and web analytics tools.
Design and build modern data and AI pipelines (data lake, lakehouse, data mesh) and deploy GenAI/BI solutions for international clients.
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