Data Solutions Engineer

Description

We are looking for a Data Solutions Engineer to join the team of one of our clients and directly contribute to building data-driven solutions, with strong business alignment and use of modern technologies, including AI. Work model: Remote Engagement: Challenging projects focused on real business impact **Key responsibilities** -------------------------------- Develop data pipelines (ingestion, transformation, and delivery) Perform data modeling for analytics and decision-making Integrate external APIs and systems (banks, CRMs, SaaS platforms) Build data-oriented solutions Apply AI/LLMs where appropriate (RAG, agents, automations) Participate in defining data architecture Work closely with the business to understand problems and propose solutions Develop PoCs and evolve them to production Ensure solution quality, performance, and scalability **What we expect** ------------------- Strong analytical and problem-solving skills Solid Python experience Experience with data manipulation and modeling SQL knowledge Experience with REST API integration Practical experience building data solutions **Profile with strong communication skills and business acumen** ------------------------------------------------- Maturity to interact with stakeholders and leadership **Nice-to-have** ---------------- Experience with data architecture (Data Lake, Data Warehouse, pipelines) Cloud experience (AWS, GCP, or Azure) Experience with applied AI and LLMs (OpenAI, RAG, etc.) Software engineering knowledge (best practices, testing, version control) Orchestration experience (Airflow, Celery) Messaging experience (Kafka, RabbitMQ) Basic understanding of machine learning If you enjoy transforming data into strategic solutions and working closely with the business, this opportunity is for you!