As a Senior Big Data Engineer and AI Enthusiast, you will join the Marketplace Enablement department, working inside a cross-functional team to design and implement cutting-edge, high-performance central streaming data products that power our recruitment AI applications, including deploying advanced machine learning models.
Your expertise will help create a more inclusive and efficient recruitment experience globally, directly supporting our mission to reshape the labour market for everyone. You will have a strong sense of ownership and proactively provide solutions before a situation deteriorates.
responsibilities :
Lead the design and build of modern big data platforms and AI-powered tools that promote fair and inclusive hiring.
Champion code quality by applying best practices like clean code, automated testing, CI/CD, observability, security, and Federated Governance.
Design, implement, and optimize high-performance data pipelines and real-time applications using tools like Apache Kafka and Apache Spark.
Manage and optimize complex ETL/ELT processes and data orchestration workflows.
Continuously evaluate, improve, and scale our data infrastructure, advocating for new technologies and architectural patterns.
Collaborate and mentor in an international, agile, cross-functional team, helping others grow and succeed.
Contribute to building an inclusive team culture where every voice is valued.
Work in a collaborative environment that values diverse perspectives and inclusive decision-making.
requirements-expected :
Excellent communication skills in spoken and written English (B2+ level).
Genuine passion for leveraging data and AI to solve complex problems and make a tangible impact.
Deep expertise and proven track record in Python for building large-scale data and backend applications (5+ years professional experience).
Strong experience with AWS cloud services (e.g., EMR, Glue, ECS with Docker, Redshift, DynamoDB, S3) and understanding of cloud-native architectures (3+ years).
Professional experience in Big Data architecture, Data Warehousing, designing complex ETL/ELT pipelines, and data pipeline orchestration (2+ years).
Solid experience with Apache Kafka (MSK) for real-time data ingestion and processing (1+ years).
Familiarity with Infrastructure as Code (Terraform) and Huggingface Transformers (considered a plus).
We value different career paths — if you have taken career breaks, switched disciplines, or balanced work with family life, we still encourage you to apply.
If you don’t meet every single requirement but are excited about this role, we still would love to see you applying :)
offered :
Premium medical and dental care
Life insurance
Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.)
