Allianz

16 hours ago

Werkstudent Student Data Engineering (m/w/d) (Unterföhring (bei München), DE, 85774)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Contribute to productively engineered data solutions within a cross-functional agile team. You will develop and maintain batch pipelines and ETL/ELT processes with AWS Glue and SQL, work with Snowflake and MongoDB, and build real-time stream processing using Apache Kafka and Apache Flink. Test applications, support CI/CD deployments with GitHub, Jenkins, Terraform and AWS, and monitor them in production while collaborating closely with product, architecture, DevOps and data engineering teams.

Location: Germany

Workplace: Onsite

Employment Type: Temporary

Job Function: People, HR & Talent

Seniority: Intern level

Key Responsibilities

•Work on a strategic, cross-domain project in a cross-functional agile team.
•Develop and maintain batch data pipelines and ETL/ELT processes with AWS Glue and SQL, working with Snowflake and MongoDB.
•Build and improve real-time stream processing applications with Apache Kafka and Apache Flink.
•Implement data transformations and help ensure performance, scalability, reliability, and data quality.
•Test applications, support CI/CD deployments with GitHub, Jenkins, Terraform and AWS, and monitor them in production.

Pay and Benefits

Perks:Learning Budget

Key Requirements

•Currently enrolled in Informatics, Data Engineering, Information Systems, Business Informatics, or a comparable field.
•Strong SQL skills and a basic understanding of databases, data modeling, and ETL/ELT processes.
•Programming experience, ideally with Java and Python, plus knowledge of software engineering basics like version control, automated testing, clean code, and CI/CD.
•Plus if you have experience with technologies such as AWS, Snowflake, MongoDB, Kafka, Flink, Jenkins, or Terraform.
•Good English skills; German is helpful but not required.

Experience:Data engineeringETL/ELTStream processing

Skills:ProactiveAnalyticalCuriousStrong communication

Languages:EnglishGerman

Tech Stack:AWS GlueSQLSnowflakeMongoDBApache KafkaApache FlinkAWSGitHubJenkinsTerraformCI/CDETL/ELTJavaPython

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

16 hours ago

Werkstudent Student Data Engineering (m/w/d) (Unterföhring (bei München), DE, 85774)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Germany

Workplace: Onsite

Employment Type: Temporary

Job Function: People, HR & Talent

Seniority: Intern level

Key Responsibilities

•Work on a strategic, cross-domain project in a cross-functional agile team.
•Develop and maintain batch data pipelines and ETL/ELT processes with AWS Glue and SQL, working with Snowflake and MongoDB.
•Build and improve real-time stream processing applications with Apache Kafka and Apache Flink.
•Implement data transformations and help ensure performance, scalability, reliability, and data quality.
•Test applications, support CI/CD deployments with GitHub, Jenkins, Terraform and AWS, and monitor them in production.

Pay and Benefits

Perks:Learning Budget

Key Requirements

•Currently enrolled in Informatics, Data Engineering, Information Systems, Business Informatics, or a comparable field.
•Strong SQL skills and a basic understanding of databases, data modeling, and ETL/ELT processes.
•Programming experience, ideally with Java and Python, plus knowledge of software engineering basics like version control, automated testing, clean code, and CI/CD.
•Plus if you have experience with technologies such as AWS, Snowflake, MongoDB, Kafka, Flink, Jenkins, or Terraform.
•Good English skills; German is helpful but not required.

Experience:Data engineeringETL/ELTStream processing

Skills:ProactiveAnalyticalCuriousStrong communication

Languages:EnglishGerman

Tech Stack:AWS GlueSQLSnowflakeMongoDBApache KafkaApache FlinkAWSGitHubJenkinsTerraformCI/CDETL/ELTJavaPython

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn