Software Engineer
Role details
Job location
Tech stack
Job description
handle model training and deployment, while contributing to data pipelines, APIs, and infrastructure that support AI applications. Working as a Senior Software Engineer - Gen AI Team , you will be responsible for: Designing, developing, and maintaining data pipelines and services with a focus on simplicity, scalability, reliability, and performance. Writing high-quality, well-tested code using Python and SQL. Building and maintaining data pipelines (ETL/ELT) using tools like Airflow. Implementing comprehensive automated testing to ensure the quality and reliability of our data products. Participating in the design and architecture of our evolving data platform. Championing best practices for code and data quality and testing. Driving improvements in our development processes using Lean and Agile principles. Managing and scaling data products, ensuring they are meeting the evolving needs of the business. Remote / Hybrid 5+ years of experience as a Software Engineer, Backend engineer or
Requirements
Data Engineer. ~ Solid understanding of software engineering principles and best practices (e.g., Expertise in Python and SQL. ~ Proven experience in building and maintaining data pipelines in a cloud environment. ~ Experience with data modeling and schema design. ~ A strong testing mindset and a commitment to writing automated tests (unit, integration, end-to-end). ~ Docker, Kubernetes) and cloud platforms. ~ A product-oriented mindset and an interest in building data solutions that solve real business problems. ~ Excellent oral and written English communication skills (minimum C1 level-proficient user). ~ Familiarity with other data technologies such as DBT, Snowflake, Tinybird/ClickHouse, MongoDB, DuckDB or PostgreSQL. ~ Experience with orchestration tools such as Airflow, Dagster, etc. ~ Experience with TDD (Test-Driven Development) and Trunk-Based Development. ~ vector databases, embedding models, prompt engineering, fine-tuning, or retrieval-augmented generation). Flexibility in ways of working both in terms of your schedule as well as your location, whether you prefer to work from home, the office, or abroad with access to a global network of co-working spaces. Meaningful benefits including private healthcare coverage, fitness and wellness programs covered through Wellhub, working-from-home allowances to help you set up your home office and cover monthly expenses. Professional development with annual training budget for conferences, courses, certifications and access to top market e-learning platforms.