Beschreibung
Data Engineer (m/w/d)Für meinen Kunden in München bin ich ab sofort auf der Suche nach einem Data Engineer (m/w/d)
Volume (fulltime 168 hours/month average)
? Part time
? Full time
Project name
Munich Engine
Role
(Senior) Data Engineer
Number of positions
2
Start date
01.06.2021
Project duration
Planned for 2021 and 2022
Seniority level
? Junior
? Experienced
? Senior
? Expert
Location
x Munich
? London
x New York
? onsite (if possible)
? remote
Languages
? English
? German (not required, but helpful)
? other
Project Description
Munich Engine is a strategic initiative of Munich Re which operates in two locations, Munich and New York City. We operate as a technology startup, owned by Munich Re and part of Munich Re Specialty Insurance and our vision is to rethink underwriting and create the next generation digital underwriting technology. Our technology product is designed and built based on modern software engineering paradigms, has data enabled automation at its core and started to get deployed at scale. Our underwriting solution combines Munich Re's actuarial and modelling expertise with machine learning.
We are a highly collaborative team, so expect to work closely with actuarial, product management, data science and software engineer colleagues to deliver a cohesive software product.
Task Description
In your role you will:
· Build and Maintain Munich Engine's Data/ML Platform
· Build and maintain robust scalable data processing pipelines in Microsoft Azure
· Optimize data ingestion process for better reliability and throughput
· Design and develop data models for analytics
· Work with various complex data sources at various levels of granularity and deliver high-quality data
· Drive data architecture design decisions considering future growth
· Work closely with actuaries and data scientists to understand their objectives and translate to ensure architectural fit
· Own features from design through delivery with ongoing support
· Communicating effectively across diverse disciplines(with Product Management, Data Science, Actuarial, etc) to collect requirements.
· Experience providing clear data engineering technical leadership, mentoring, and best practices for data management and quality within and across teams.
· Develop expert knowledge of data and analytics infrastructure within Munich Re
· Implement processes and technology to monitor and improve data quality
Required working experience
Mandatory
· Bachelor's degree (MS preferred) in Computer Science, Statistics, Math or equivalent combination of education and experience
· 5+ years of experience with data modeling, data processing, and data analytics as data engineer
· 5+ years of hands-on Python and SQL experience required
· Expert Data Model skills on designing and building models for semi-structured, relational, graph data
· Expert SQL skills including T-SQL, Hive, Spark SQL, etc
· Expert Knowledge in database technologies such as Postgres, SQL Server, MySQL, MongoDB, Azure CosmosDB
· Experience in data pipeline development using Azure Data Factory, T-SQL, PySpark, Airflow, etc.
· Drive and dedication, as well as creativity and hands-on attitude
· Demonstrated ability to experiment with and learn new technologies
· Strong oral and written communication and interpersonal skills
· Excellent analytical, problem solving and organizational skills
Good to have
· Experience in P&C insurance industry (preferred experience working with insurance homeowner data)
· Experience with data visualization tools such as Power BI
· 3+ yeas of hands-on Microsoft Azure experience highly preferred
· Curiosity in searching for new solutions outside of traditional approaches
Required Skills and qualifications
Technical Must have
- Cloud Analytics stack (e.g. Azure: Data Factory, Databricks, Azure ML, Azure SQL, ADLS, …)
- (t-)SQL + Tools + Ecosystem (SSMS, Azure Data Studio, Azure SQL)
- Scripting knowledge (bash, Powershell or Python)
- Git
- Data Modelling Tools (e.g. Erwin, ER/Studio; or Visio, Data Studio, Draw.io etc.)
Technical Nice to have
- Azure DevOps esp. repositories, pipelines
- Container systems/ecosystem
- PowerBI
Personal Must have
Strong communication and documentation skills in English + see above/
- A high degree of commitment and the willingness and ability to master a broad spectrum of tasks
- Ability to communicate efficiently with engineers, actuaries and underwriters
- Embracing the mindset of an agile working environment
Additional information
Current team size: ~20 People (Data Scientists, Actuaries, Software Engineers, Data Engineers + PM/PO)
Project language is English
Distributed Product Munich/New York
Wenn Sie sich von der Vakanz Data Engineer (m/w/d)angesprochen fühlen dann zögern Sie nicht:
Senden Sie ihren per Mail an d.rychel[at]computerfutures.de
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