(Senior) Data Engineer at Continental

Vila Nova de Famalicão, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Modeling, Data Integration, Object-Oriented Programming, PostgreSQL, Apache Flink, Apache Spark, Apache Hive, CI/CD, Scrum, Agile, Problem-Solving, Analytical Skills, Communication, Business Architecture Redesign

Industry

Motor Vehicle Manufacturing

Description

Company Description Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2024, Continental generated sales of €39.7 billion and currently employs around 190,000 people in 55 countries and markets. Job Description Continental’s Data and Customer Solutions Competence Center creates a wide range of digital solutions for Continental’s customers and internal stakeholders – and we want you to join us! If you’d love to join an international crowd that works on the latest technologies and creates state-of-the-art solutions, Continental is the perfect match for you. As a Data Engineer, you will work in a SCRUM team closely with the backend developers, solutions architects and UI/App developers to build and enhance our existing and future digital services within Continental Tires. With this job, you join the global team working on our product ContiConnect, a digital tire monitoring platform for commercial fleets around the world. Main Responsabilities: Closely collaborate with ContiConnect team members based in Germany, Portugal and US to foster the integration of data across several applications; Design and establish common data models for data exchange; Constantly adapt data models as per the requirements of the connected applications; Build ingestion processes for streaming data as well as bulk imports; Support ongoing operations for data pipelines as 3rd level support engineer; Follow Scrum/Agile / SAFe methodologies to organize and plan projects; Responsible for planning efforts and timelines to business stakeholders; Maintaining data streaming specific CI/CD pipeline; Leading data engineering development work; Collaborate with business stakeholders in data engineering concepts. Qualifications University degree in Computer Science, IT, or related studies; At least 3 years of experience as an internal or external consultant / developer for data warehousing applications; Experience supporting and operating a software system; Focus on Business Architecture Redesign; Affinity for the specific challenges of data integration from heterogenous sources; Experience in at least one object-oriented programming language (e.g., Java, Python, C#); Knowledge of data modeling in relational databases (preferably PostgreSQL); Experience with data modeling in key value stores - e.g., HBase – (is a plus); Experience with Apache Flink / Spark / Hive; Knowledge of CI/CD tools, like Jenkins; Ability to communicate effectively with technical and business stakeholders; Analytical mindset and excellent problem-solving skills; Experience in working in a multinational company (is a plus); 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. We are committed to fostering a workplace where everyone feels safe, respected, and valued. All kind of applications are welcome. Ready to drive with Continental? Take the first step and fill in the online application.

Responsibilities

As a Data Engineer, you will collaborate with team members to integrate data across applications and design common data models. You will also build ingestion processes for streaming data and support ongoing operations for data pipelines.