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Continental Group Sector ContiTech

IT engineer Data Lakehouse - Tech Lead | ContiTech Business Center Timisoara | CTBC |

  • Hybrid
  • 6+ years

Salary

Not stated

Similar roles pay €45K - 85K a year · our estimate

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Description

You will be the senior engineering contact for the lakehouse layer, working with teams in several countries and domains.

You will coordinate 25+ data engineering and data science professionals and work alongside platform architects, data scientists, governance teams and functional IT.

The business supplies industrial materials for off-highway, rail, road, air, food, furniture and industrial applications. It has about 20,000 employees at more than 60 sites and sales of about €6.0 billion in 2025, with core branches in Asia, Europe, and North and South America.

The parent group was founded in 1871, had sales of €19.7 billion in 2025, and employs about 78,000 people in 54 countries and markets.

Responsibilities

  • Set the enterprise standards for data and analytics modeling, including 3NF and warehouse modeling, and for performance within the Databricks lakehouse.
  • Maintain and review shared enterprise data and analytics models and artifacts, and keep naming and metadata aligned with governance rules.
  • Drive reuse and consistent integration of core artifacts across all business domains.
  • Guide partitioning, indexing and performance tuning.
  • Build and steer semantic integration with Power BI, live tabular exploration and other tools, and own shared functions such as FX conversion, BOM logic and time-slicing.
  • Review and approve core components for quality and reuse, and help resolve high-performance or high-complexity problems.
  • Make sure lakehouse work follows architectural decisions and act as design authority for warehouse, semantic modeling and advanced analytics integration.
  • Work with data science and AI teams on model deployment and on bringing ML and AI pipelines into the lakehouse, including LLM and external API patterns.
  • Build and maintain shared libraries and engineering templates, coach junior engineers, and set TDD and as-code standards.
  • Publish design guidelines, coding standards, architecture blueprints and reusable lakehouse patterns.
  • Monitor usage, set auto-scaling policies, and tune cluster configurations for cost efficiency.
  • Report usage and cost to stakeholders.

Requirements

  • Degree in Computer Science or a related field.
  • Certifications in Databricks or Microsoft (preferred).
  • 6-10 years in data engineering, focused on enterprise data and analytics warehouses, lakehouse modeling and ML integration.
  • Hands-on experience designing large-scale semantic, warehouse and advanced analytics layers.
  • A record of owning architecture and enabling peers across diverse teams.
  • Experience in international teams across several time zones and cultures, ideally (preferred) with teams in India, Germany and the Philippines.
  • Skills in PySpark, Scala, Delta Lake, Unity Catalog and Power BI integration.
  • Skills in dimensional and 3NF modeling and semantic layer design.
  • Experience with ML model lifecycle integration, MLOps patterns and LLM APIs.
  • Experience with test-driven development and performance profiling.
  • Skills in metadata strategy, lineage tracking and naming standards.
  • Experience with cross-domain business logic such as KPIs and hierarchies.
  • Experience with reporting and BI tools, such as tabular analysis tools, and dashboarding tools, preferably Power BI.
  • Knowledge of advanced analytics (data mining and other KDD methods), machine learning concepts and methods.
  • Understanding of AI service and API integration concepts, such as LLMs.

Conditions

Hybrid work model.

Based in Timisoara.

Benefits

  • A 13th salary, paid once a year in December.
  • Meal tickets with a value of 40 RON.
  • Private health insurance through a partner insurer.
  • Referral bonuses for candidates you refer who are hired.
  • Book lending, with books delivered to the office.
  • A sports benefit card.
  • Discounts on products and services from partner vendors, including restaurants and kindergartens.
  • An improvement ideas program, with a bonus set by the improvement team according to the idea.
  • Extra days off for weddings, becoming a parent, or a child's wedding.
  • A bonus for welcoming a newborn into your family.
  • Support in difficult life events, including free days and financial help assessed case by case.
  • 22 vacation days a year, plus 1 more from your 3rd year, plus 1 more at 15 years and 1 more at 20 years, up to a maximum of 29 days.
  • Development opportunities within the company.
  • An inclusive, multicultural workplace with colleagues from many nations and languages.

Where you’d work

Part of the week in the office

About the company

Continental Group Sector ContiTech

Office in Romania

Also hiring in United States and Hungary

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 2 red flags

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Spark
  • Databricks
  • Power BI
  • LLMs
  • Scala
Seniority
Lead
Type
Full-time
Specialty
Data Engineering
Region
Europe
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Lead
Experience
10+ years
Tech stack
  • Spark
  • Databricks
  • Power BI
  • LLMs
  • Scala

Location

Work model
Hybrid
Region
Europe
Office
  • Romania

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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