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Data Engineer (m/w/d)

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Recruiter: Computer Futures
Listed on: 28th May
Location: München
Type: Contract

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


(Senior) Data Engineer

Number of positions


Start date


Project duration

Planned for 2021 and 2022

Seniority level

? Junior

? Experienced

' Senior

? Expert


x Munich ? London

x New York

' onsite (if possible)

' remote


' 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


· 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, 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] Bitte geben Sie mit ihrer Bewerbung auch an: § Ihre Verfügbarkeit, § Ihre Erfahrungen mit oben genannten Anforderungen § Ihre Stundensatzvorstellung § Referenzen Beachten Sie zudem bitte, dass wir nur vollständige Bewerbungen berücksichtigen können.

Contact Name: Daniel Rychel
Reference: TJ/3387/CF-33708349_1622226536
Job ID: 2937665

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