Senior Data Engineer

**Senior Data Engineer**:
**Company**
Munich Re
**Location**
Singapore, Singapore

**YOUR OPPORTUNITY**

Big data, artificial intelligence and advanced analytics are transforming the insurance industry across the value chain. Munich Re is at the forefront of this trend, having made a significant investment in start-of-the-art analytics infrastructure and software, central and regional analytics centres of competence and several successful analytics initiatives with its clients worldwide.

Munich Re’s IT Business Technology organization supports our business partners from all reinsurance lines of business and their clients transforming the digital insurance value chain. Analytics based solutions are becoming the heart of modern insurance systems. Be part of our global team of engineers to build our next generation MLDevOps platform to enable end-to-end AI/ML model development and operation lifecycles and by that shifting the boundary of insurability.

We offer:

- The opportunity to be a data engineer in a vibrant, leading global reinsurance company with diverse data to enable innovative data analytics
- Build a state-of-the art MLDevOps platform and support Munich Re’s Asian analytical teams in the technology adoption
- Active participation in and management of projects with client exposure
- Development and implementation of solutions that enable operational units to increase quantity and quality of new business
- Presentation of deployment solutions to internal and external stakeholders
- Networking with already existing data engineering units across the globe
- Collaborate with internal partners in Life and Health and the data analytics centre in Munich to leverage capabilities in big data technology

**YOUR PROFILE**
- You must possess a strong engineering mindset
- Background in Master’s in computer science, computer engineering, information systems, data science / advanced data analytics or a related technical discipline including information technology, engineering, computer science, statistics and applied mathematics.
- Experience:

- More than 5+ years of hands on experience in deploying AI & ML solutions to production in a DevOps environment with knowledge of CI/CD pipelines. Expertise in building machine learning platforms and data pipelines at scale
- 7+ years hands on experience and strong coding fluency in Python, Java. Command of additional languages like Scala,.Net is an advantage.
- Experience with interactive workloads, machine learning toolkits and how they integrate with cloud computing e.g. Databricks along with ML flow, Kubernetes and Docker containerization.
- Advanced skills in working with relational SQL data stores (Microsoft SQL, MySQL or similar) & unstructured databases such as MongoDB.
- Experience in building large scale data pipelines and distributed computing with Hadoop/Spark
- Strong foundation in modern data processing architectures
- Experience in cloud computing platform. Microsoft Azure is preferred.
- Strong experience in managing diverse data structure and algorithms
- Experience in conducting UAT and knowledge of testing methodologies & related documentations
- Basic theoretical knowledge of AI, ML and DL methods
- Proven experience overseeing less experienced data engineers
- Ability to craft new technical solutions to problems
- Visualization in Power BI, Tableau, D3.js, Dash, JavaScript, etc. is an advantage
- Good command of stakeholder management
- Strong communicator in solutions documentation and verbally explaining solution concepts to non-technical audiences and domain experts
- Capacity for innovation, entrepreneurial mindset, forward-looking, enjoy working in a team
- Good command of English essential
- Willingness to travel within Asia for short periods