Senior Data Engineer
Budapest, Budapest, Hungary
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MP Solutions Ltd.
MPS RPO Toborzási folyamatok teljeskörű kiszervezése, informatikai tanácsadás, software engineeringSince 1935, our partner company has proudly established itself as a global leader in financial services. We’re always adapting and innovating to provide even better support to our clients and communities across more than 40 countries worldwide.
Tasks:
- Collaborate with some of the industry’s leading professionals at a firm that prioritizes both individual intellect and teamwork.
- Experience a dynamic and supportive multinational environment that fully harnesses the power of technology. We embrace individual differences and foster a culture of collaboration.
- Enjoy an open communication channel with our senior leaders in an atmosphere where your voice is genuinely valued.
- Access professional development opportunities, including participation in our partner's prestigious internal training programs.
Requirements
- 6 to 12 years of experience in designing and developing highly resilient data platforms
- A solid understanding of data engineering, architecture, and data modeling
- Excellent analytical and problem-solving abilities
- Familiarity with platforms such as Databricks, Snowflake, and Kafka
- Experience in developing applications in cloud environments (AWS or Azure)
- Proficient programming skills in Python, with a willingness to learn additional languages such as Java or Scala
- Open to reviewing and improving code written by others
- Able to function in a collaborative environment where developers engage in broader scope projects
- Previous experience with Git, Bitbucket, Jenkins, handling pull requests, using JIRA, and adhering to Scrum Agile methodologies is beneficial
- Experience in creating data-intensive or computationally demanding (e.g., grid-based) backend applications is a plus
- Bachelor's or Master's degree in a relevant IT or Engineering discipline
- Previous knowledge of financial products is advantageous
Benefits
- Five additional holidays each year.
- Enjoy the benefit of flexible working hours that allow you to tailor your work schedule to fit your personal and professional commitments, ensuring that you can be both productive and responsive to your needs.
- We prioritize work-life balance, fostering an environment where you can excel in your career while also enjoying time for personal interests, family commitments, and self-care, helping you to maintain overall well-being and satisfaction in both your work and personal life.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Bitbucket Databricks Engineering Excel Git Java Jenkins Jira Kafka Python Scala Scrum Snowflake
Perks/benefits: Career development Flex hours
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