Key skills
AWSCloudDockerPythonSQLAIMLData EngineeringAnalyticsEKSCommunicationSales
About this role
Role Overview
- Design, build, and maintain scalable data pipelines to ingest, transform, and curate structured and unstructured data
- Write production-quality code in SQL and Python and actively contribute to day-to-day development
- Troubleshoot, optimize, and improve performance of data workflows and systems
- Lead by example through hands-on contributions to critical projects
- Provide technical guidance, code reviews, and mentorship to other data engineers
- Help drive implementation of best practices in data engineering, testing, and deployment
- Architect, develop and oversee development of pipelines to ingest, transform, and curate structured and unstructured data from internal and external sources
- Ensure high performance, scalability, and reliability of data systems
- Build and maintain reusable data products and APIs to support analytics and AI use cases
- Work closely with data scientists to prepare and deliver high-quality datasets for ML and AI use cases
- Champion data governance, lineage, and metadata management practices
- Implement monitoring, alerting, and event-driven frameworks for data pipelines
- Lead adoption of containerized and orchestrated data workloads (e.g., Docker, Amazon EKS)
- Partner with business, product, and external stakeholders to align data strategy with organizational goals
- Identify opportunities to improve tooling, processes, and performance
Requirements
- Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
- 7+ years of experience in data engineering or similar roles, including experience leading projects or initiatives
- Proven track record designing and scaling cloud-based data platforms (preferably AWS)
- Strong proficiency in SQL, Python, and advanced data modeling techniques
- Experience leading architecture decisions and implementing best practices
- Strong understanding of data quality, integration, transformation, and governance
- Excellent communication skills with the ability to influence technical and non-technical stakeholders
Tech Stack
- AWS
- Cloud
- Docker
- Python
- SQL
Benefits
- Annual bonus payment based on your performance (target 20%)
- Dedicated training budget (training, certifications, conferences, diversified career paths etc.)
- Recharge Fridays (2 Fridays off per quarter available)
- Take time Program (up to 3 months of leave to use for any purpose)
- Vacation subsidy available
- Flex Location (possibility to perform our work from different places in the world for a certain period of time)
- Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)
- Private healthcare (LuxMed packages)
- Group life insurance (UNUM)
- Multisport
- Stock share purchase additions
- Yearly sales of company laptops and cars