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Application Developer Data Engineering (Product & Vehicle Data)

Lousado, Braga, Portugal

Job Description

Continental’s digital capabilities are growing every day. Our eCommerce, Fleet Solutions, and Data Science Information Technology team creates a wide range of technology solutions for Continental’s Global Sales and Marketing teams – and we want you to join us!

Our team continuously works on the digitalization of our business-to-business processes and end-consumer communication, using leading web technologies and a strong focus on data science and artificial intelligence. We run Continental’s global customer relationship management platform, which supports our Sales colleagues in their daily interaction with customers. The Fleet Solutions part of our team builds global tech platforms using the Internet of Things, big data, and automated service management. We constantly strive to improve the user experience for our fleet customers and Continental’s fleet organization.

If you’d love to join a global team that works on the latest technologies and creates value-added solutions for customers, Continental is the perfect match for you.

Your main responsibilities:

Technical ownership for product and vehicle data application for SST (single source of truth);

Development and operation of a modern worldwide data warehouse application;

Integrating product and vehicle data to create a 360-vehicle fitment view for OE and Replacement data;

Integration of different data sources for the Data Warehouse application, establishing and operating data access points for internal customers;

Building data architecture to ensure a consistent and reliable flow of information for SST and fleet data;

Implementing the right architecture, data structure, business logic, ETL routines, rule sets, and interfaces;

Providing corrective and preventative maintenance including monitoring of system performance and integrity for SST;

Enabling data integration via reporting tools like Power BI and API;

Coordinating support, ITSM process, and data quality for SST;

Creating best practices for data loading and extraction.

Qualifications

Academic degree in Computer Science, IT or an equivalent qualification;

>2 years of work experience in the above-mentioned area;

Working knowledge of software development cycles;

Familiar with agile development methodologies and expertise with customer-oriented solutions;

Agile software development and SAFe knowledge (beneficial);

General knowledge of security standards and encryption;

General knowledge on Cloud environments: Azure & AWS in addition to Kubernetes & Docker;

Practical relevant work experience and good knowledge of OOP programming languages, software implementation, SQL, software architectures, and databases;

Some experience areas like data extraction and data modeling;

Experience with the integration of several data sources into data warehouse applications;

Analytical and strategic way of thinking, self-organized and structured working style;

Strong customer and service orientation, very good communication skills, passion to win, team orientation, and intercultural empathy;

Ability to promote ideas in complex and heterogeneous environments;

Proficient English skills (written and spoken).

Additional Information

Our offer:

Integration in a challenging and international work environment;

Flexible working model;

Agile and collaborative working style;

Continuous opportunities for the promotion of talent and training.

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