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

1 & 1 Mail & Media Applications SE; Karlsruhe; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Wellbeing initiatives

Relocation assistance

Professional training & development

Company pension scheme

Public transport subsidy

Zusammenfassung

1 & 1 Mail & Media Applications SE in Karlsruhe is seeking a Data Engineer for our Portal BI Team to design and operate end-to-end data pipelines, integrate new data sources, and build a scalable data platform enabling self-service analytics.

You own data quality, collaborate across domains, and advance the data warehouse with Dagster, dbt, Python, Trino, Impala, S3, GitLab, SQL databases and Tableau.

Qualifikationen

• Hands-on experience in Data Engineering or BI, including end-to-end pipeline design and operations.
• Curiosity to understand business domains and explore new technologies.
• Ownership mindset with structured root-cause analysis and sustainable problem solving.
• Comfort working across complex system landscapes and enabling data-driven insights.
• Proficiency in English and German.

Aufgaben

• 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 data models with stakeholders.
• Continuously evolve our data warehouse landscape using Dagster, dbt, Python, Trino, Impala, S3, GitLab, SQL, and Tableau.
• Operate and stabilise pipelines by investigating incidents and data quality issues.
• Maintain and modernise SQL Server environment including refactoring and performance tuning.

Kenntnisse

Data Engineering

BI

Ownership mindset

Cross-functional collaboration

English and German proficiency

Ausbildung

Computer Science degree or equivalent experience

Tools

Dagster

dbt

Python

Trino

Impala

S3

GitLab

SQL databases

Tableau

Jobbeschreibung

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

Your Tasks

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.

• 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 stabilise pipelines by investigating incidents, resolving data quality issues, and executing historical or long‑running computations.
• Maintain and modernise our SQL Server environment, including code refactoring, performance tuning, capacity planning, backup strategies, and data centre migrations.

Your Profile

Do you have a 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.

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 programmes, conferences, and mentoring.

TEC-Campus: Free choice between Linux, Mac, or Windows, slack days, conferences, lecture series, courses, open‑source projects, community meet‑ups, and user groups.

Active health care: Wellpass, free internal sports and fitness classes, health days, family & care support services, discounts at fitness centres, 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.

1 & 1 Mail & Media Applications SE