Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
€47к/год
€48к€77кмедиана€78к
По похожим ролям (15) ~ €77к/год
Прикинули из €4к/мес × 12
На СНГ рынке: $3.6к/мес ($3к - $4.3к)
82
Хорошая вакансия
развернуть
У роли понятные задачи в senior data engineering, современный стек и заявлены развитие и баланс между работой и личной жизнью; консалтинговый формат и немецкий на уровне C1 ограничивают доступность вакансии.
Кликните для подробной информации
Работа с заказчикамиСовременный стекУсловия для развитияЗаявлен баланс
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (m/f/d) - Tieto Tech Consulting (Data Platforms/Databricks): Designing and delivering scalable data platforms, pipelines, governance structures, and cloud-based data solutions with an accent on Databricks, Microsoft Fabric, Azure, Python, and SQL. Focus on optimizing data workflows, automating deployments through CI/CD and container orchestration, and advising customers on complex data engineering challenges.
Location: Austria (Vienna, Linz, Graz) or Germany (Berlin, Regensburg); flexible hybrid work model.
Salary: from €3,954 gross per month on a full-time basis, depending on qualifications, experience, and contract type.
Company
hirify.global Tech Consulting combines business design and software engineering to deliver digital solutions, with around 300 employees in DACH and access to hirify.global's global network of approximately 8,000 colleagues.
What you will do
Design, build, and maintain scalable data platforms and business-focused data solutions, including governance structures and access control concepts.
Design, implement, and optimize data pipelines using Databricks or similar modern frameworks.
Manage and enhance CI/CD pipelines for automated deployments, including containerization and orchestration.
Monitor and improve the performance, scalability, and reliability of data workflows.
Advise customers as a trusted technical partner and collaborate with stakeholders to gather requirements and deliver data-driven solutions.
Apply current data engineering practices and innovative approaches to complex challenges.
Requirements
5+ years of experience designing and implementing scalable data solutions, platforms, and data integration interfaces.
Strong expertise in data modeling, including dimensional modeling and normalization/denormalization.
Experience with cloud-based data platforms; Azure is preferred, while AWS or GCP experience is also welcome.
Experience with Databricks, Microsoft Fabric, and architectural patterns such as Medallion.
Strong programming skills in Python and SQL, with openness to leveraging AI-assisted tools and approaches.
Software engineering mindset with experience in Git, CI/CD pipelines, and modern development practices.
Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
Consulting mindset, customer-centric approach, ownership, self-motivation, teamwork, and ability to learn new topics quickly.
Fluency in German at C1 level and English for stakeholder discussions.
Strong communication skills, willingness to mentor colleagues, and interest in emerging technologies and continuous learning in data and AI.
Nice to have
Valid certifications in Databricks, Microsoft Fabric, and Microsoft Azure.
Culture & Benefits
Flexible hybrid work model with an open culture and work-life balance.
Professional growth through meaningful projects and access to an international network of industry experts.
Laptop and smartphone for private use, health programs, team events, and fresh fruit.
Food vouchers, excellent public transport connections, and contribution toward the Austrian KlimaTicket.
Learning-oriented environment focused on curiosity, continuous development, and innovative technology.
Hiring process
Submit a CV or LinkedIn profile.
The process may include interviews, assessments and tests, background verification, an offer, and onboarding.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →