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Careers

Lead Data Engineer

Engagement:Full time

Language:German, English

Location:Remote

Must have skills:

  • Snowflake
  • Database Architecture
  • AWS
  • Data Strategy
  • AWS Lambda
  • SQL
  • Tech Lead
  • Data Engineering

Good to have skills:

  • Data Analytics
  • Artificial Intelligence (AI)
  • Machine Learning (ML)

Project description:

Our client is looking for a Lead Data Engineer to help them drive the development and architecture of a robust and scalable data platform.

You will be required to travel to client offices in Munich, Germany for onboarding (1-2 weeks) and occassional travel post this.

Responsibilities:

  • Take responsibility for the data architecture and the technical design of the data platform together with the data team.
  • Build and grow a skilled engineering team
  • Develop and own the data model in close collaboration with the customers and the service providers, designing and implementing the data architecture covering all areas from ingestion through transformation / harmonization to consumption.
  • Define and deploy a suitable technical architecture leveraging state of the art AWS services based on the functional and non-functional requirements
  • Lead and mentor the data engineers, data analysts and DevOps engineers within the data team
  • Understand and explain advantages and disadvantages of the proposed solutions to internal and external stakeholders, at different levels
  • Be accountable for the on-time and to-quality delivery of the data assets
  • Works closely with the Product Owners with the aim of meeting current and future user needs

Requirements:

  • Solid experience as a data architect, a lead data engineer or in a similar role
  • Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering…)
  • Experience in designing and implementing and end to end data solution based on the cloud (Data-Lake with cataloging and lineage capabilities with AWS Stack)
  • Previous experience of Implementing Lambda architecture with AWS Stack.
  • Demonstrable experience in leading teams of data engineers / data analysts
  • Familiar with the handling of large data sets
  • Knowledge of database technologies and fundamentals incl. coding proficiency in SQL
  • Experience with the AWS stack is a strong plus
  • Experience with Snowflake is required
  • Ability to manage security topics in an enterprise environment
  • Excellent analytical, debugging, and problem-solving skills
  • Strong collaboration skills, ability to explore new paths and work in international teams
  • DevOps Mindset (you build it, you run it)
  • Experience working in cross-functional development teams using agile methodologies
  • German language would be nice to have

About the client:

Our client is one of the world’s leading insurers and asset managers with operations in more than 65 countries.

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