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15 часов назад

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

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Релокация
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer – Business Intelligence (BI) (f/m/d) (Data Warehousing/Pipelines): Building scalable data pipelines, models, and warehouse foundations for analysts and business teams with an accent on data quality, platform reliability, and self-service BI. Focus on integrating new data sources, modernizing SQL Server, tuning performance, and solving complex pipeline and data reliability issues.

Location: Karlsruhe, Germany, with home office options, flexible working hours, and relocation service for candidates living outside Germany.

Company

A digital communications and services provider operating email, cloud storage, news, and identity management platforms for more than 42 million active users in Germany, Austria, and Switzerland.

What you will do

  • Integrate new data sources, design data models, and build scalable end-to-end data pipelines for analysts and business teams.
  • Translate business requirements into reusable, documented data models in collaboration with stakeholders.
  • Evolve the 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 running historical or long-running computations.
  • Maintain and modernize the SQL Server environment through refactoring, performance tuning, capacity planning, backup strategies, and data center migrations.

Requirements

  • Degree in Computer Science or a comparable qualification gained through practical experience.
  • Hands-on experience in Data Engineering or BI, including end-to-end pipeline design, implementation, and operations.
  • Structured approach to root-cause analysis and sustainable problem-solving.
  • Interest in understanding business domains, exploring new technologies, and enabling others with reliable data foundations.
  • Professional proficiency in English and German required.

Culture & Benefits

  • Flat hierarchies, respectful communication, appreciation, and an inclusive workplace.
  • Home office options, flexible working hours, 30 days of vacation, and additional unpaid leave options.
  • Training opportunities, LinkedIn Learning, language courses, conferences, mentoring, and talent development programs.
  • Choice of Linux, Mac, or Windows, plus access to open-source projects, meetups, and user groups.
  • Health support, fitness discounts, family and care services, mental health support, and free fruit and drinks.
  • Job bike leasing and public transport subsidies, company pension scheme, and other financial benefits.

Hiring process

  • Submit an application with salary expectations and reference ID 336 through the online application form.

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