Data & AI Engineering Team Lead — Hybrid, Growth

Meyandy LLC; Germany (OH); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Work from abroad up to 30 days a year

Hybrid work and flex-time

International team and social events

Subsidized urban mobility and fitness

Free Langdock access

Career & training opportunities

Modern offices

Mental health support with OpenUp

Job summary

Statista is seeking a Data & AI Engineering lead to build and grow a high-performing team focused on automation and AI solutions. You will set direction, establish best practices, and ensure delivery of reliable, scalable AI systems that matter to the business.

You will guide architecture, code reviews, and cross-functional collaboration with product and data leaders to drive impactful outcomes in a fast-growing environment.

Qualifications

• 5+ years of experience leading data/AI engineering teams.
• Strong Python developer, building scalable data pipelines and automation.
• Experience with cloud infrastructure (AWS) and workflow orchestration (Airflow).
• Excellent English communication and stakeholder alignment.

Responsibilities

• Lead, coach, and develop a team of Data and AI Engineers.
• Provide technical leadership: review code, shape architecture decisions.
• Drive end-to-end delivery of AI-powered solutions.
• Design, deploy, and oversee scalable cloud infrastructure for AI services and APIs.
• Identify and prioritize automation opportunities with stakeholders.
• Act as the primary contact for your area, aligning with product, data, and business leaders.
• Champion modern AI and automation practices within the team.

Skills

Python

Team leadership

AI fundamentals

Cloud basics

Communication

Data engineering

Leadership

Tools

Docker

Apache Airflow

AWS

Git

Job description

Statista is seeking a Data & AI Engineering lead to build and grow a high-performing team focused on automation and AI solutions. You will set direction, establish best practices, and ensure delivery of reliable, scalable AI systems that matter to the business.

You will guide architecture, code reviews, and cross-functional collaboration with product and data leaders to drive impactful outcomes in a fast-growing environment.