Data Engineer & Digital Transformation Developer - IT (TM)

at  Continental

Your tasks

Your primary responsibilities include:

• You will be part of a young international team of data engineers & digital transformation developers, utilizing the latest Cloud based data Lakehouse platforms to harmonize and enrich Continental Automotive data as basis for analysis, reporting and AI. Within the scope of all Automotive, you will collaborate on projects with cross-functional teams and specialists from business and IT side;
• You will create and maintain automated data pipelines from various sources and business domains and bring them into a uniform layout. This includes the underlaying data modeling, transformation and preparation of the data to be the basis for data analysis, reporting and AI use cases;
• Your will be responsible for reliable maintaining of data (storage format, data availability & data integrity) including following Cybersecurity and IT security standards;
• You will make sure your ETL pipelines are continuously monitored and optimized to keep as reliable, fast and efficient as possible;
• Show interest in current developments as well as trends and market developments in Data Engineering and DevOps by staying up to date with recent methodologies, incorporating them into daily work.

Your profile

Required technical and professional expertise:

• Studies in computer science, applied mathematics, machine learning or similar;
• Preferred several years of experience as Data Engineer and/or DevOps and/or DataOps;
• Expert in building robust and automated data pipelines with ETL tools;
• Expert in analyzing requirements and processes in order to design solutions based on them;
• Knowledge of data warehouse concepts and solutions (like Databricks or Redshift).
• Experience of backend and DevOps technologies such as Git, Docker, KubeFlow is a plus;
• Practical experience working with Amazon Web Services (AWS) technologies is a plus;
• Practical experience with SQL, Python, GIT and PowerBI;
• Understanding of basic Data Science workloads and requirements;
• Very good quick comprehension;
• Analytical, structured and conceptually strong working methodology;
• Ability to express complex concepts in a comprehensible language for non-specialists;
• Very good command of English (both written and spoken);
• Very good communication skills.

Our offer
What we offer:

Pay for Performance:

• Achievement Bonuses and Rewards;
• Recommendation Bonuses for new team members;
• Flexibility Program including flexible hours and mobile work.

Wellbeing:

• Health & Wellness (Private Health Insurance, Life Insurance, Sport activities etc.);
• Different discounts (glasses, tires, medical, shopping);
• In-house restaurant & coffee corners.

Life-Long Learning:

• Technical, Soft Skills & Leadership trainings;
• Dedicated Programs and Conferences;
• Free Language Courses (English, German, French etc);
• Access to e-learning platforms;
• Career development opportunities (local and international);

Ready to drive with Continental? Take the first step and fill in the online application.
About us
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 2023, Continental generated sales of €41.4 billion and currently employs around 200,000 people in 56 countries and markets.

• You will be part of a young international team of data engineers & digital transformation developers, utilizing the latest Cloud based data Lakehouse platforms to harmonize and enrich Continental Automotive data as basis for analysis, reporting and AI. Within the scope of all Automotive, you will collaborate on projects with cross-functional teams and specialists from business and IT side;
• You will create and maintain automated data pipelines from various sources and business domains and bring them into a uniform layout. This includes the underlaying data modeling, transformation and preparation of the data to be the basis for data analysis, reporting and AI use cases;
• Your will be responsible for reliable maintaining of data (storage format, data availability & data integrity) including following Cybersecurity and IT security standards;
• You will make sure your ETL pipelines are continuously monitored and optimized to keep as reliable, fast and efficient as possible;
• Show interest in current developments as well as trends and market developments in Data Engineering and DevOps by staying up to date with recent methodologies, incorporating them into daily work