Responsibilities

• Design and implement scalable data architectures.
• Maintain high data quality and accessibility.
• Collaborate with stakeholders for data-centric solutions.
• Provide technical guidance and support to teams.
• Ensure performance and reliability of systems.
• Establish best practices for quality code delivery.
• Participate in code reviews and discussions.
• Engage in pre-sales activities and client interactions.
• Contribute to meetups and technical presentations.
• Stay updated on emerging technologies.

Requirements

• Degree in Engineering, Computer Science, or related field.
• 7+ years as a Data Engineer.
• 2+ years in a leadership role.
• Experience in full-cycle projects.
• Strong coding skills for complex challenges.
• Proficient in Python for data processing.
• Expertise in AWS for cloud data solutions.
• Skills in Databricks for big data analytics.
• Competency in system design and architecture.
• Proven track record of technical impact.
• Ability to mentor and share knowledge.
• Innovative approach to tools and methodologies.
• Flexibility in programming languages and tech stacks.
• Fluent in English at a B2 level or higher.

Nice to have

• Experience in real-time data processing.
• Background in advanced machine learning.
• Knowledge of serverless computing solutions.

We offer

• International projects with leading brands.
• Work with a diverse, skilled global team.
• Healthcare and financial benefits.
• Paid time off and sick leave.
• Upskilling and certification courses.
• Access to LinkedIn Learning and 22,000+ courses.
• Global career opportunities.
• Community involvement opportunities.
• Award-winning culture recognized by Glassdoor and LinkedIn.