IT engineer Data Lakehouse - Tech Lead - CTBC

Company Description

Continental is a leading tire manufacturer and industry specialist. Founded in 1871, the company generated sales of €19.7 billion in 2025 and currently employs around 78,000 people in 54 countries and markets.

ContiTech is one of the world’s leading material experts for industry applications. The Continental group sector offers its customers reliable, safe and convenient industry and service solutions using a range of materials for off-highway applications, on rails and roads, in the air, under and above the ground, in industrial environments, for the food sector and the furniture industry. With about 20,000 employees (Status as of March 2026) at more than 60 sites globally, and sales of some 6.0 billion euros (2025), the global industrial partner is active with core branches in Asia, Europe and North and South America.  

Job Description

* Govern the enterprise-wide standards for data & analytics modeling and performance within the Databricks Lakehouse.

* Drive consistency and reuse of core data & analytics artifacts and ensure scalable integration across all business domains.

* Provide expert consulting, quality assurance, and enablement for data engineering and data science teams.

* Act as a design authority for data warehouse, semantic modeling, and advanced analytics integration.

* Acts as the senior engineering point of contact for the lakehouse layer across global teams.

* Coordinates with 25+ data engineering and data science professionals across domains and geographies.

* Collaborates closely with platform architects, data scientists, governance teams, and functional IT globally.

Main Tasks: 

• Define enterprise 3NF and warehouse modeling standards.

• Maintain and review enterprise-wide data & analytics models and shared artifacts.

• Align naming conventions and metadata handling with governance standards.

• Guide partitioning, indexing, and performance tuning.

• Enable, steer and optimize semantic integration with Power BI, live tabular exploration and other tools.

• Own common functions, e.g. FX conversion, BOM logic, time-slicing.

• Review and approve core components for quality and reusability.

• Provide support on high-performance or high-complexity challenges.

• Align lakehouse implementation with architectural decisions.

• Collaborate with data science and AI teams on model deployment.

• Ensure seamless integration of ML/AI pipelines into the lakehouse.

• Support LLM and external API integration patterns.

• Build and maintain shared libraries and data engineering templates. 

• Coach junior engineers and define TDD and "as-code" standards.

• Drive engineering excellence across the community of practice.

• Maintain architectural blueprints, templates, and best practices.

• Publish design guidelines and coding standards.

• Create re-usable architecture patterns for lakehouse environments.

• Monitor usage and implement auto-scaling policies.

• Analyze and optimize cluster configurations for cost-efficiency.

• Provide cost transparency and usage reporting to stakeholders.

Qualifications

Degree in Computer Science or related field; certifications in Databricks or Microsoft preferred.

6–10 years in data engineering with focus on enterprise data & analytics warehouse, lakehouse modeling, and ML integration.

Hands-on experience designing large-scale semantic, warehouse, and advanced analytics layers.

Track record of architectural ownership and peer enablement with diverse teams.

Experience working in international teams across multiple time zones and cultures, preferably with teams in India, Germany, and the Philippines.

Additional Information

What we offer:

The 13-th salary – Paid once a year, in December;

Meal tickets - With a value of 40 Ron;

Private Health Insurance – Health is the most important, so we offer you a medical subscription through Signal Iduna;

Referral bonuses - We encourage colleagues to refer new candidates to us and, at the same time, to get the chance to receive a bonus;

Bookster – Feed your body and your mind. You can borrow books and you’ll receive them at the office;

Sports benefits- It’s important to stay active, so we offer you the 7Card;

Discounts at our partners – We collaborate with different vendors, and we receive discounts for various products/ services like rubbers, restaurants, kindergartens, etc;

System for Rewarding Improvement Ideas – We have an internal improvement program (Continental Idea Management) that gives you the opportunity to come up with ideas and to be honored with an attractive bonus (this is established by the CIM team according to your improvement idea);

Happy days – If you or your child is getting married, or you become a parent, you receive some extra free days;

Life events celebration - If your family is growing, we praise your newborn with a bonus;

Unfortunate events - In case of unhappy events in your life, we support you by offering you free days and financial support (handled on a case by-case basis);

Extra vacation days – You begin with 22 vacation days/year, and starting with the 3rd year with us, we offer you 1 more day of vacation and. We reward employees who reach 15 and 20 years within the company with another day of vacation, reaching a maximum of 29 days.

Professional development - Many opportunities to develop yourself within the company;

Diversity and multicultural mindset - We encourage you to join us no matter who, where, or what you are. We have colleagues from different nations and a variety of languages are spoken in our company.

• Referral Bonus : Yes
• Leadership Level: Leading Self
• Working Time: Full Time