Position: Data Engineer
Company: AboutHR recruiting agency
Category: Data Engineer
Experience required: 3y
English level: upper

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

Engagement: Full time

Start date: Dec 12, 2022 (6-12 months)

Language: German, English

Location: Remote

Must have skills: Data Engineering, AWS, Snowflake, Databricks, SQL

Good to have skills: Artificial Intelligence (AI), Machine Learning (ML), Data Analytics

**Position description**
Our client is looking for a Data Engineer to help them create transparency within their departments, leveraging the power of data to create meaningful insights and statistics, track all commercial transactions and improve the AI/ML models.

You will be required to travel to client offices in Munich, Germany for onboarding (1-2 weeks) and occassional travel post this.

**Responsibilities:**

Design, develop, test, debug, document and implement the artefacts of the UfC data platform as part of an agile team. This includes: Raw layer (blob storage), harmonizes data model and consumption layer, ingestion and transformation pipelines, data quality measures, AWS managed services required for the data architecture and reports / dashboards used by the customers.
Ensure fulfillment of non-functional requirements of the solution, such as performance, data protection, IT security and ergonomics/usability
Take over end-to-end responsibility over the implemented data assets and maintain them in production (DevOps mindset – you build it, you run it)
Work closely with the product owner and the data architect with the aim of meeting current and future user needs
Keep up with trends and evolving technology in the big data and analytics world

**Requirements:**

Solid experience as a data engineer or in a similar role
Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering...)
Strong Experience in setting up a data platform in a cloud environment (preferably in AWS)
Strong Experience in using state of the art data and analytics tools (Snowflake, Databricks or AWS Tooling incl. Glue, Kinesis, Athena etc.)
Experience with setting up real time data delivery and analytics modern tools like Kinesis Streams, Spark Streaming etc.
Familiar with the handling of large data sets
Knowledge of database technologies and fundamentals incl. coding proficiency in SQL
Being able 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
Experience working in cross-functional development teams using agile methodologies
German language would be nice to have