Data Engineer - Business Intelligence (BI) (f/m/d)

About

As a Data Engineer in our Portal BI Team in Karlsruhe, you operate at the core of our data warehouse ecosystem. You integrate new data sources, design and build reliable end-to-end data pipelines, and continuously evolve a scalable, future-ready data platform. You take ownership of data quality and reliability across teams and enable stakeholders to generate insights independently through robust, well-designed data foundations. Working alongside an experienced and collaborative group of data professionals, you help shape the backbone of data-driven decision-making across the company. You will make a tangible impact through hands-on project work, clear ownership of platform stability and evolution, and by contributing to a strong enablement culture with a focus on self-service BI.

Responsibilities

• Onboard new data sources, design data models, and build scalable end-to-end pipelines for analysts and business teams.
• Translate business requirements into robust, reusable, and well-documented data models in close collaboration with stakeholders.
• Continuously evolve our data warehouse landscape using Dagster, dbt, Python, Trino, Impala, S3, GitLab, SQL databases, and Tableau.
• Operate and stabilize pipelines by investigating incidents, resolving data quality issues, and executing historical or long-running computations.
• Maintain and modernize our SQL Server environment, including code refactoring, performance tuning, capacity planning, backup strategies, and data center migrations.

Requirements

• Degree in Computer Science or a comparable qualification through practical experience.
• Hands-on experience in Data Engineering or BI, including end-to-end pipeline design, implementation, and operations.
• Strong curiosity and motivation to understand business domains and explore new technologies.
• Ownership mindset with a structured approach to root-cause analysis and sustainable problem-solving.
• Enjoy working across complex system landscapes and enabling others with reliable, high-quality data foundations.
• Professional proficiency in English and German.

Benefits

• Lived corporate culture: Flat hierarchies, a culture of respect and appreciation, signatories of the Diversity Charter, open communication, and no dress code.
• Wide range of further training: Internal and external training opportunities, LinkedIn Learning, language courses, talent development programs, conferences, and mentoring.
• TEC-Campus: Free choice between Linux, Mac, or Windows, slack days, conferences, lecture series, courses, open-source projects, community meetups, and user groups.
• Active health care: Wellpass, free internal sports and fitness classes, health days, family & care support services, discounts at fitness centers, mental health first responder, fresh fruit and drinks for free.
• Mobility: Subsidy for job bike leasing, job ticket, and relocation service if you live outside Germany.
• Flexible working models: Home office options, flexible working hours, and 30 days of vacation with the option for additional unpaid leave.
• Financial benefits: Corporate benefits, company pension scheme, capital-forming benefits, occupational disability insurance, and various partner discounts.
• Events: Summer and winter parties, sports tournaments, and team events.