Data engineer for AI applications

Deutsche Bahn; Berlin; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Free DB journeys

Job ticket

Employee discounts

Job summary

DB Systel ищет специалиста по данным и AI для разработки основы данных и интеграционных конвейеров для аналитики и AI-продуктов. Вы будете проектировать масштабируемые потоки извлечения, преобразования и загрузки, объединять источники данных и обеспечивать качество данных для бизнес-подразделений и AI-систем.

Требуются знания Python, SQL, моделирования данных и опыт работы с облачными платформами, а также понимание RAG, мультимодальных данных и графов знаний.

Qualifications

• У вас есть степень в информатике, бизнес-информатике, математике или эквивалентная квалификация.
• Есть несколько лет опыта в инжиниринге данных и внедрении сложных интеграционных решений.
• Знание Python и SQL, плюс моделирование данных и ETL/ELT.

Responsibilities

• Разработка основы данных для аналитики и AI-продуктов.
• Проектирование масштабируемых конвейеров интеграции данных.
• Соединение источников данных и обеспечение качества данных.
• Работа с облачными платформами и архитектурами данных.

Skills

Инженерия данных

Python

SQL

ETL/ELT

Моделирование данных

Распределенная обработка

Облачные платформы

RAG

Мультимодальные данные

Графы знаний

Education

Высшее образование в информатике/бизнес-информатике/математике

Job description

Описание:

In the Data & AI Solutions (DAIS) cluster at DB Systel, we shape the mobility of tomorrow with data and artificial intelligence. Our teams develop solutions for data engineering, analytics, data governance, data platforms, and AI-powered applications. Together with Deutsche Bahn’s business units, we lay the foundation for data-driven decisions and digital innovation across the Group.

Задачи:

Develop the data foundation for analytics and AI products and design scalable data integration solutions, from connecting heterogeneous sources to providing quality-assured data for applications, business units, and AI systems. Connect traditional and AI-powered data processing in hybrid ETL / ELT and data fusion pipelines, combining rule-based transformations, SQL, and stream processing with model-based extraction, classification, and semantic enrichment, and deliberately choose between deterministic methods and AI. In your role, source structured, unstructured, and multimodal data such as business data, documents, images, audio, and sensor and event data, and link related information through metadata, entities, and temporal and business relationships. Build data and knowledge pipelines for Retrieval-Augmented Generation (RAG), including document preparation, chunking, embeddings, indexing, and retrieval components, and provide up-to-date, traceable information while taking the relevant access rights into account. Design suitable data and solution architectures by connecting cloud-based data platforms, lakehouse approaches, search and vector indexes, APIs, and, where appropriate, knowledge graphs according to the use case, while considering scalability, performance, security, maintainability, and cost-effectiveness. Make data pipelines production-ready and reliable to operate, automate testing, deployment, and monitoring, and develop methods for data quality, versioning, and traceability, as well as for the quality, runtimes, costs, and error mechanisms of AI-powered processing steps. Work with platform, software, and AI engineering teams to strategically develop existing system landscapes, integrate new solutions into existing architectures, and support their transition to operations. When advising internal customers and project leads, bring technical and business perspectives together, translate requirements into viable technical solutions, and coordinate business and technical dependencies with internal and external stakeholders.

Требования:

You have a completed degree in computer science, business informatics, mathematics, a natural science, or a comparable field, or an equivalent qualification backed by substantial practical experience. You have several years of professional experience in data engineering and a track record of successfully implementing complex data integration solutions in production environments. Python and SQL are part of your toolkit, complemented by strong knowledge of data modeling, ETL / ELT methods, and scalable data pipelines, as well as experience with distributed processing systems and batch or streaming architectures. You use cloud and data platforms confidently and can explain your architecture decisions regarding scalability, operations, security, and costs. You have practical experience with unstructured data or data pipelines for AI applications, as well as knowledge of document extraction, embeddings, vector search, and RAG, and have already implemented solutions in some of these areas or developed in-depth knowledge. You understand rule-based and model-based processing and can validate results, handle uncertainty, and make processing steps reproducible; Git, CI / CD, automated testing, code reviews, documentation, monitoring, data quality, access rights, and traceable data provenance are second nature to you. You ideally have experience with multimodal data processing, hybrid search, knowledge graphs, or providing data and context for AI agents. You independently develop viable solutions, enjoy working across teams, and communicate complex technical matters appropriately for your audience; fluent German and English skills and an agile way of working round out your profile. Будет плюсом: Ideally, you have experience with multimodal data processing, hybrid search, knowledge graphs, or providing data and context for AI agents.

Условия:

This position offers the possibility of hybrid work. In coordination with your manager, you can work both at the designated office location and remotely from a place of your choice within Germany. We offer you 16 free journeys within Germany per year and additional travel discounts, such as a DB Job Ticket for your daily commute. There are also discounted travel options for family and friends. All DB employees can shop at discounted prices. Every month, you can find new offers on the DB travel marketplace, such as mobile phone contracts, insurance, and discounts at hotel chains, as well as on fashion and lifestyle products. You achieve great things and receive great things in return: a market-rate salary package, usually with a permanent employment contract and job security, as well as a wide range of additional benefits and an occupational pension.