Lead Data Analytics and Visualization Engineer

About the Position

Lead Data Analytics and Visualization Engineer

We are seeking a Lead Data Analytics and Visualization Engineer to drive the design and implementation of advanced data analytics solutions using both classic and cloud-based technologies. You will collaborate with cross-functional teams to deliver high-quality, scalable data solutions and foster a high-performance engineering culture. Join us to lead impactful projects and innovate in a dynamic environment.

Responsibilities

• Lead the design and implementation of modern data analytics solutions using classic (BI platforms, ETL/ELT technology & tools, Databases, DWs, etc.) and cloud-based technologies
• Collaborate with product and engineering teams to understand requirements and evaluate new features
• Build partnerships with architects and key stakeholders across functional groups
• Perform detailed analysis of business problems and technical environments for solution design
• Participate actively in code reviews and testing to ensure adherence to best practices
• Supervise team members and provide technical leadership to foster a high-performance engineering culture
• Write and maintain comprehensive project documentation

Requirements

• Advanced experience (over 5 years) in developing end-to-end data analytics solutions with classic and cloud data technologies
• At least 1 year of relevant leadership experience
• Production experience in Data Analytics, Data Visualization, Data Security, Data Modelling, etc.
• Solid expertise in designing self-service analytical data solutions
• Hands-on experience with advanced and hybrid data modeling approaches
• Knowledge of data lineage, metadata management, and data traceability concepts
• Production experience with data-oriented programming languages such as SQL, Python, SparkSQL, PySpark, R, or Bash
• Experience designing, implementing, deploying, and monitoring scalable and fault-tolerant cloud data solutions
• Good experience with CI/CD principles and best practices at the project level
• Data-oriented mindset with strong compliance awareness, including PI, GDPR, HIPAA
• Motivated and independent with the ability to manage multiple projects and set priorities under pressure
• Analytical problem-solving skills with ability to work abstractly and gain consensus
• Excellent interpersonal, leadership, and communication skills
• Ability to work effectively in a fast-paced, agile development environment
• Experience in direct client communications
• Experience leading technology teams on data-oriented projects
• Solid skills in troubleshooting, monitoring, support, performance tuning, and bottleneck analysis of data solutions
• Experience across different business domains
• English proficiency at B2+ level

We Offer

• Dynamic, entrepreneurial corporate environment
• Diverse multicultural, multi-functional, and multilingual work environment
• Opportunities for personal and career growth in a progressive industry
• Global scope, international projects
• Widespread training and development opportunities
• Access to LinkedIn Learning solutions
• Competitive salary and various benefits
• Advanced wellbeing and CSR programs, recreation area

About the Company

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