Data Engineer Manufacturing Data Services at Aumovio

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Data Services, SQL, Relational Databases, Data Platform Principles, CI/CD Pipelines, Software Development, Python, Angular, C#, Data Engineering, Agile Frameworks, Full Stack Development, Manufacturing Processes

Industry

Motor Vehicle Manufacturing

Description

Company Description Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide. Job Description The Data Engineer for Manufacturing Data Services collaborates with colleagues to develop and operate our Manufacturing Data Lake (MDL) hosted in the cloud. We manage data pipelines from the plants' MES-OLTP Oracle databases located in local data centers, performing additional data engineering tasks to provide the data in our MDL. In addition to utilizing native cloud services, we are currently exploring the implementation of a data intelligence platform to enhance our offerings. All tasks are executed in accordance with company guidelines, the SAFe @ MA roles within the agile MDL team, and under the functional leadership of the Head of Manufacturing Platform. Principal accountabilities: Works globally at the development and operations of our cloud – based Manufacturing Data Lake and Manufacturing Data Services. Part of the service (DevOps) – team / SAFe-agile – team “MDL”. Designs and adopts new technical developments for possible optimization of the solutions Develops and rolls out ongoing optimization of our implementation with respect to cost/benefit Provides guidance to and share knowledge with platform users relating to the area of specialization. Tests and releases software components (doing or coordinating) by using CI/CD pipelines. Supports Incident Management (3rd level support) partly together with external service provider. Consults our customers to enable them to use our platform (data structures, APIs, applications, etc.) in an efficient way. Collaborates with IT CC’s, central functions, and/or Business Areas to develop standard solutions. Supports continuous technology market screening and optimizations of the platform. Qualifications Required qualifications: Demonstrated experiences in AWS data service like Neptune, Athena, S3, RDS (Oracle), EC2, ECS and Lambda (Serverless) Demonstrated experiences in using SQL or comparable query languages Experiences and knowledge in relational databases Experiences using modern data platform principles Experiences in the usage of CI / CD – pipelines Experiences in software development (Python, Angular, C# or comparable) Self-dependent and team-minded Good English skills in writing and speaking. Optional qualifications: Demonstrated knowledge of data engineering tasks Knowledge about agile frameworks and methods (e.g. SAFe) Knowledge about Full stack development for solutions providing insight from MDL Optional knowledge about Manufacturing processes Additional Information Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next. Legal Entity: Continental Automotive Systems Philippines, Inc. (0611) Job flexibility: Onsite Job Leadership level: Leading Self Working time: Full Time

Responsibilities

The Data Engineer collaborates with colleagues to develop and operate the Manufacturing Data Lake hosted in the cloud, managing data pipelines and performing data engineering tasks. They also provide guidance to platform users and support incident management.