Állás részletei
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Cég neve
thyssenkrupp Components Technology Hungary Kft.
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Munkavégzés helye
Budapest -
Elvárt technológiák
- DATABASE SQL PYTHON CLOUD MYSQL ANALYTICS DATABASES AZURE NOSQL SECURITY PANDAS API APACHE POSTGRESQL AWS GIT DATA MANAGEMENT
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Elvárások
- Angol felsőfok
- 3-5 év tapasztalat
- Egyetem
Állás leírása
Main tasks, responsibilities:
You will play a key role in designing and building scalable data platforms and pipelines that support business-critical analytics and applications. You will work across the full data lifecycle, from ingestion and transformation to storage and optimization, ensuring data is reliable, accessible, and ready for use.
Responsibilities:
- Design, implement, and maintain data warehouse solutions
- Build robust ETL pipelines to ingest and transform data from various sources into target storage (cloud, data lake, warehouse), ensuring data integrity
- Integrate data from multiple sources, including APIs, third-party services, and internal systems
- Analyze and optimize query performance and storage solutions to handle large-scale datasets efficiently
- Implement data quality checks, monitoring, and validation processes to ensure reliability and security
- Implement and maintain database solutions using SQL and NoSQL databases
- Collaborate closely with data scientists, analysts, web application developers, and other stakeholders to understand data needs and ensure it is readily available and accessible
- Document data processes, pipelines, and systems, and promote best practices in data engineering and data management
Requirements:
- 3+ years of experience in data engineering or a similar role
- Degree in Computer Science, Information Technology, Engineering, or a related field
- Knowledge of data warehousing concepts and experience with solutions such as Databricks
- Strong Python skills for data processing, scripting, and automation (including PySpark)
- Experience with libraries such as Pandas, NumPy, and SQLAlchemy; ideally some exposure to API development (FastAPI)
- Experience with ETL tools and frameworks such as Apache Airflow or Kafka
- Strong expertise in SQL for querying, database management, and performance tuning
- Experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server)
- Experience with cloud platforms such as Azure, AWS, or GCP
- Proficiency with version control systems (e.g., Git)
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to non-technical stakeholders
- Collaborative mindset and ability to work in cross-functional teams
- Attention to detail and commitment to data accuracy and integrity
Company info
thyssenkrupp is an international industrial and technology group with around 98,000 employees. In the fiscal year 2023/2024, the company generated sales of €35 billion in 47 countries. Its business activities are bundled in five segments: Automotive Technology, Decarbon Technologies, Materials Services, Steel Europe and Marine Systems. With extensive technology know-how, the businesses develop innovative solutions for the challenges of the future, especially in the fields of climate protection, the energy transition, digital transformation in the industry and mobility of the future.
In the Hungarian development center with our engineering team of 1000 we are present as an innovative and significant partner in one of the fastest growing and most exciting segment of the automotive industry, in the field of electromechanical steering systems. With outstanding quality and high-tech developments we meet the needs of renowned car manufacturers and our developments can be found in 25 % of the manufactured cars all over the world. Our engineers work on new challenges that can change the future of automotive.
Join us and steer your future on new tracks!
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