Aktuelle Jobs im Zusammenhang mit Senior Data Engineering Lead - Hamburg, Hamburg - Mabanaft
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Senior Data Engineering Lead
vor 3 Monaten
Shaping the Future of Mobility
At Mabanaft, we envision a future driven by innovative solutions in the energy sector. We are looking for a talented individual who can contribute to this vision.
Position: Lead Data Engineer – Data Platform (m/f/d)
What We Offer:
- Work-Life Balance: Enjoy a 38.75-hour work week with 30 days of vacation annually.
- Flexibility: Benefit from adaptable working hours and options for remote work.
- Family Support: Access assistance for children's vacations and nanny services.
- Security and Benefits: Comprehensive accident insurance, generous pension contributions, and opportunities for sabbaticals or early retirement.
- Health and Wellness: Subsidized meals, gym access, online fitness courses, and mental health support.
- Career Development: Personalized support for your professional growth.
- Diversity and Networking: Participate in internal networks that promote diversity and engage in company events.
- Additional Perks: Profit sharing, holiday bonuses, travel allowances, and more.
Your Key Responsibilities:
We are seeking an experienced Lead Data Engineer to oversee the development and management of sophisticated data systems within our Azure-based Data Platform. Your role will focus on enhancing data solutions, optimizing data acquisition processes, and ensuring the integrity of data pipelines. You will be responsible for maintaining scalability and quality in data processing.
Your expertise in Azure services, particularly Azure Data Factory and Databricks, will be crucial in providing technical direction and best practices to the data engineering team.
Main Responsibilities Include:
- Technical Leadership: Guide the team in implementing best practices in data engineering and cloud computing.
- Data Acquisition Optimization: Streamline processes for efficient and accurate data acquisition.
- Quality Control: Ensure the delivery of high-quality data pipelines and consistent system performance.
- Scalability Monitoring: Oversee the scalability of data processing systems.
- Cost Management: Optimize the use of cloud resources for cost efficiency.
- Automation and CI/CD: Establish and maintain CI/CD practices for data pipelines.
- Collaboration: Work closely with cross-functional teams to align data initiatives with business objectives.
Qualifications:
- Bachelor's or master's degree in Computer Science or a related field.
- Over 5 years of experience in leading Data Engineering teams.
- Proficient in Azure Cloud Services, data engineering, and programming.
- Strong skills in Python, SQL, and big data technologies.
- Expertise in data quality management, performance enhancement, and cost efficiency.
- Experience with CI/CD and DevOps practices, data architecture, and data security.
Contact Information:
To express your interest in this role, please submit your application through our designated platform, including your salary expectations and earliest possible start date.
