Data Engineering Lead - Data & AI Tools (m/f/d)

Reposted 10 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Senior level
Information Technology • Marketing Tech • Database
Statista - Empowering People with data
The Role
Lead a team of Data and AI engineers, develop AI solutions, design cloud infrastructure, and streamline data processes. Collaborate with stakeholders to align AI efforts with business goals.
Summary Generated by Built In

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

Your Tasks

  • Lead and mentor a team of Data and AI engineers, setting objectives, reviewing code, and fostering professional growth.

  • Drive the end-to-end development of advanced Data and AI-powered solutions, including automation frameworks and agentic workflows, to enhance data research, complex forecasting, and decision-making

  • Design, deploy, and maintain scalable cloud infrastructure for AI services and APIs.

  • Identify automation opportunities, streamline workflows, and continuously improve processes across the company.

  • Collaborate with stakeholders to align AI solutions with organizational goals and high-value data delivery.

  • Stay ahead of AI and automation trends, integrating state-of-the-art methods and tools into team projects.

Your Profile

  • 5+ years of experience in Data Engineering, Data Operations, or Software Engineering with a proven track record of leading technical teams.

  • Strong Python skills in building scalable data pipelines, automation, and backend services.

  • Experience with cloud infrastructure (AWS preferred: ECS, EC2, EKS, S3, Lambda), workflow orchestration (Apache Airflow), containerization (Docker), and version control (git).

  • Deep understanding of AI principles: foundation models, retrieval-augmented generation (RAG), prompt engineering, evaluation metrics, and trade-offs between different AI approaches.

  • Excellent English communication skills, able to lead cross-functional teams, coordinate stakeholders, and influence technical decisions.

  • Passion for innovation, building autonomous AI tools, agent networks, and scalable AI solutions in a high-growth environment.

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

  • Work from abroad up to 30 calendar days a year

  • Hybrid work and flex-time

  • International team and social events

  • Subsidized urban mobility and access to fitness and wellness options

  • Free access to Langdock and all its amazing functionalities

  • Career & training opportunities

  • Attractive locations and modern offices

  • Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.

Top Skills

Apache Airflow
AWS
Docker
Ec2
Ecs
Eks
Git
Lambda
Python
S3
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The Company
HQ: Hamburg
1,400 Employees
Year Founded: 2007

What We Do

Who We Are Statista believes that precise, accurate, and reliable data is the most important element needed for an organization to excel. We’re a rapidly growing international data-as-a-service organization with an IPO on the horizon. We leverage an easy-to-use online platform with a diverse and up-to-date collection of data, analytics, and information to give our partners access to an infinite number of business sectors, geographic areas, and consumers. Statista enables teams to learn from its data, assess market value, and make critical and well-informed business decisions based on truth, not opinions. Culture at Statista Founded 15 years ago in Hamburg, we have quickly developed into a global company. In our 13 office locations, we employ over 1,400 colleagues from more than 60 nationalities. In our international working environment, everyone is encouraged to contribute ideas to make Statista a special place to work. Our culture, framed by clear goals and a supporting team, paves the way for us to stay a profitable, leading player in the market. Why You Should Choose Statista · Our mission- helping companies make decisions with facts, not opinions · We put our people first forming a strong company culture grounded in our core ethics of community, integrity, communication, initiative, and accountability · Opportunities to grow and hone your sales expertise in a rapidly growing company · A diverse and international company with 13 locations worldwide, with our HQ in Hamburg,Germany · A beautiful office in NYC at 3 WTC, with the view of Hudson River, Freedom Tower, Empire State Building, Chrysler Building, and Hudson Yards · Medical, Dental, and Vision benefits · Flexible office hours/remote work as needed · Casual office attire, dog friendly, and a kitchen full of snacks and beverages

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