Data engineer

A11; Berlin; On-site; EUR 70,000 - 110,000; Full time

Job summary

A11 ищет мотивированного Data Engineer для поддержки Data & Analytics команды в Европейских проектах. Вы будете строить и поддерживать данные инфраструктуру: хранилища данных, облачные решения, AI-циклы, интеграцию данных из разных систем, обеспечение доступа к данным через интерфейсы и совместную работу в Agile.

Требуется глубокий интерес к данным, опыт работы с SQL, Python и dbt, знание систем контроля версий, немецкий и английский на хорошем уровне, образование в области информатики.

Qualifications

• Есть диплом по информатике или эквивалентное образование.
• Опыт работы с SQL, Python и dbt.
• Хорошие знания немецкого и английского языков.
• Интерес к данным и решению бизнес-зач.
• Понимание систем контроля версий и баз данных.

Responsibilities

• Строить и поддерживать хранилища данных и облачные инфраструктуры.
• Интегрировать данные из разных систем в единые представления.
• Разрабатывать и оценивать AI-воркфлоу и их влияние на бизнес.
• Обеспечивать доступ к данным через различные фронтенды и интерфейсы.
• Работать в Agile и в кросс-функциональной команде.

Skills

Genuine interest in data and algoritms

SQL

Python

dbt

German language

English language

Willingness to learn

Experience with AI/ML

Education

Degree in computer science or equivalent

Tools

dbt

Job description

Описание:

A11 is the driving force behind growth at Europe's leading tech unicorns, such as Trade Republic, Sennder and Kry. We are a SWAT team for business performance, with expertise in marketing, sales, data, tech and people operations. With more than 100 international experts, we tackle complex business and technology challenges. We are looking for a motivated Data Engineer to support our Data & Analytics team's data strategies.

Задачи:

Build high-quality data warehouses, cloud infrastructures, AI workflows, etc. Integrate data from various systems into flexible and consistent representations. Investigate and evaluate the long-term impact of AI use cases and their implementation. Ensure that all employees and IT systems across the company have easy access to data through various frontends and interfaces. Work in an agile software development process in close collaboration with the analytics, product development and software development teams. Work in a great cross-functional team environment and have an impact on the business.

Требования:

• Genuine interest in data and algorithms, and enthusiasm for solving difficult business problems with scalable data products.


• Knowledge of version control systems, web technologies, software, best practices in analytics engineering and data engineering, and how database systems work.


• Solid experience with SQL, Python and dbt.


• Willingness to learn (we know you can \"fly at least one type of aircraft\", and we will provide you with numerous types and variants of this aircraft).


• Good communication skills in German and English (native or near-native level).


• A degree in computer science or a comparable qualification.


• Будет плюсом: Experience with machine learning and/or AI is an advantage; Optional: The ability to turn data science into something that creates business value

Условия:

Shape the future of innovation: Take the lead on groundbreaking projects across a variety of companies and regions. You will make a real impact through our strategic, hands‑on approach to work. Work with an international team of digital natives: Discover new opportunities to learn, contribute and thrive in a dynamic, multicultural environment. Our team includes more than 25 nationalities and brings experience from a wide range of companies and industries. Career development: We support your growth in any direction—whether you want to deepen your expertise, lead a department or explore new areas. Embrace change and new technologies: We actively try out new tools and AI features to optimize our workflows and processes, and give you creative freedom and autonomy to achieve your goals. Connect and discover: From shared meals with the team and fun offsites to regular meetups, you will build lasting connections through regular events and dynamic opportunities to exchange knowledge.