Jobbeschreibung
As Golding sets its sights on growth, we are seeking a (Senior) Data Engineer (m/f/d) to bolster our committed Operations Team at our Munich location at the earliest opportunity.
About Golding Capital Partners
Golding is one of the leading independent asset managers for Private Equity, Private Debt, Infrastructure, Secondaries and Impact Investing in Europe with more than 14 billion Euro assets under management. On a daily basis, we act in an exciting and ever changing field of global investors and international investment funds. Our business partners are the key point of our corporate philosophy – they appreciate our very personal and competent support. Our team, including more than 200 colleagues, work from Munich, Luxembourg, Milan, Tokyo and Zurich.
Golding is currently navigating through a transformative phase, with a vision to evolve into a data-driven enterprise. As a Data Engineer, you play a pivotal role in shaping this digital transformation and leveraging data as a valuable corporate asset. Your responsibility spans the creation of a novel data and analytics platform, contributing significantly to the execution of our data and analytics strategy. Your expertise is instrumental in paving the way towards a data-centric organizational landscape.
This includes:
- Driving forward the creation of a new company-wide data & analytics platform based on a lakehouse
- Analysis and documentation of technical requirements
- Design, develop and maintain modern data structures within the lakehouse framework (e.g. Azure)
- Conception, development and manage data flows
- Development and maintainance of data outputs such as dashboards and reports
- Provide Support and maintainance of the existing Data Warehouse (DWH) environment up to its decomission
Your qualification:
- A STEM degree or a comparable qualification in a related field
- Minimum 5 years of experience in a professional IT environment
- Demonstrable experience in project management, particularly in leading IT projects
- Extensive expertise in building high-performance data management processes
- Proficiency in relational databases and query languages like SQL
- Strong understanding of data modeling principles
- Practical experience with tools such as Databricks, DBT, Dremio, Airflow, Spark, PowerBI, or similar platforms
- Proven track record in (sub-)project management for implementing a DWH/Analytical platform
- Familiarity with cloud technologies like Microsoft Azure or similar environments would be advantageous
Your personality:
- You have a mindset that values "data as an asset"
- You possess a keen appreciation for data quality; it's more than just a buzzword for you
- You embody a proactive, hands-on approach to tasks and challenges
- Your adaptability to dynamic work environments is evident through your proficiency and experience in agile methodologies
- You are characterised by an independent, structured and solution-oriented way of working
- You have excellent communication and interpersonal skills
- You are motivated and optimistic as well as a team player with enthusiasm for an international working environment
- An attractive salary package with a performance-based component and employer-sponsored retirement savings plan
- The benefits of a modern office in the charming east of Munich, along with the flexible option to work remotely
- Space for your creative ideas to actively shape the future
- Tailored professional and personal development opportunities for successful career growth
- Intensive onboarding and a buddy program for a smooth start
- Dynamic work environment fostered by open communication and flat hierarchies
- Regular team events and celebrations for a vibrant, communal atmosphere
- The opportunity to be part of an international team where cohesion and collective connection are prioritized
- Discounts on meals at the company restaurant and a and various additional perks, including support for a job bike, access to Gympass, free fruits, beverages, and much more