Data Engineer

We are one of the largest global private markets investment managers, serving over 800 institutional investors worldwide. We have USD 149.2 billion in assets under management and more than 1800 professionals across 20 offices worldwide. Partners Group is an equal opportunity employer committed to cultural diversity.

What it's about

The Business Applications Group is closely aligned with the business teams and responsible for the key applications to administer, monitor and analyse Partners Group’s business processes through the investment value chain. We take care of the availability, development, customization and ongoing enhancement of these applications to best support the global business operations of Partners Group.

We are now looking to add a Data Engineer to our team, based in Zug.

Your Responsibilities:

• Analyse relevant internally and externally sourced data (raw data) to generate BI and Advanced Analytics datasets based on your stakeholders’ requirements.
• Design data pipelines to curate sourced data into the inhouse data warehouse.
• Design data marts to facilitate dataset consumption out of the inhouse data warehouse by business and IT internal stakeholders.
• Design data model changes that align with the inhouse data warehouse standards.
• Define migration execution activities to move data from existing database solutions to the inhouse data warehouse.
• Regular housekeeping of raw data and data stored in the inhouse data warehouse.
• Build and maintain data pipelines and data platforms.
• Build data solution prototypes.
• Explore ways to enhance data quality and reliability.
• Identify and realize opportunities to acquire better data (raw data).
• Develop analytical tooling to better support BI and Advanced Data Analytics activities.
• Execute data migration from existing databases to the inhouse data warehouse.
• Promote and champion data engineering standards and best-in-class methodology.

What we expect:

You will have the following qualifications:

• Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering or related quantitative discipline.
• 4+ years of experience in data engineering or relevant working experience in a similar role, preferably in the financial industry.
• Strong understanding or practical experience of at least one common Enterprise Agile Framework e.g., Kanban, SAFe, SCRUM, etc.
• Strong understanding of ETL, data warehouse and BI and Advanced Data Analytics concepts.
• Deep knowledge of cloud-enabled technologies – AWS RDS and AWS Fargate, etc.
• Experience with databases and data warehouses - Snowflake, PostgreSQL, MS SQL.
• Strong programming skills with advanced knowledge of Java and/or Python.
• Experience in building data models, which includes the conceptual, logical, and physical and practical experience using DataVault 2.0.
• Practical experience with ETL tools such as Talend, etc.
• Strong critical-thinking, analytical and problem-solving skills.
• Excellent communicator with team-oriented approach.

Desired:

• Working knowledge of big data concepts in organizing both structured and unstructured data.
• Certified in AWS Data Analytics Specialty/AWS Machine Learning Specialty.
• Knowledge about private markets.

What we offer:

Partners Group is a global financial institution that retains the culture, pace and agility of a start-up. As a growing firm, we are committed to attracting, developing and retaining the very best talent, by offering a workplace where results are truly recognized and rewarded.

We offer a fantastic opportunity for you to grow:

• Professional, international working environment.
• Challenging, rewarding career within a growing company.
• Collaborative environment, with on-the-job training and mentorship opportunities.
• Competitive compensation package, including performance based annual bonus.
• One-month fully paid sabbatical after every five years of employment.

Please be aware, fraudsters may pose as Partners Group recruiters. All genuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at hr@partnersgroup.com.

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