Data Engineer (Python, AWS/Azure)

Company Description

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
 
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
 
From prototype to real-world impact - be part of a global shift by doing work that matters.

Job Description

We are seeking a skilled Data Engineer to join our team in Chișinău, Moldova. In this role, you will be responsible for designing, implementing, and maintaining robust data infrastructure and pipelines to support our organization's data-driven decision-making processes.

• Design, develop, and maintain scalable data pipelines using Python and cloud technologies (AWS/Azure)
• Implement ETL processes to extract, transform, and load data from various sources into our data warehouse
• Optimize data storage and retrieval systems for improved performance and efficiency
• Collaborate with data scientists and analysts to understand data requirements and provide efficient solutions
• Ensure data quality, integrity, and security throughout the data lifecycle
• Develop and maintain documentation for data processes and architectures
• Stay up-to-date with emerging technologies and best practices in data engineering
• Troubleshoot and resolve data-related issues in a timely manner

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 2+ years of experience in data engineering or similar role
• Strong experience in Python programming language
• Knowledge of AWS and/or Azure cloud platforms
• Expertise in SQL databases (preferable Postgres, MySQL, Oracle, Snowflake)
• Proficiency in designing and implementing ETL processes
• Experience with data warehousing concepts and technologies
• Knowledge of big data technologies such as Hadoop and Spark
• Familiarity with version control systems, preferably Git and GitHub
• Understanding of data architecture and data modeling principles
• Knowledge of data security and compliance best practices
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities
• Relevant cloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate, Databricks or Snowflake) are a plus

Additional Information

Discover some of the global benefits that empower our people to become the best version of themselves:

• Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;  
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
• Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
• Health: Global internal wellbeing programme, access to wellbeing apps;
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.