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Data Engineer & Reporting

FERCHAU GmbH
Wiehl, Germany
19 days ago
Apply on www.ferchau.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
German
Job source
www.ferchau.com

Tech stack

Confluence JIRA Cloud Database Extract Transform Load (ETL) Python (Programming Language) Power BI Azure Data Factory Git Databricks

Job description

  • Datenmodellierung und Dokumentation der Ergebnisse umsetzen
  • Testen neuer Entwicklungen in Azure Data Factory und Databricks
  • Mitarbeit an ETL-Prozessen wie Pipelines, Data Flows sowie Python-Schritten

Requirements

  • Kenntnisse in Power BI, Azure Data Factory, Databricks und Python
  • Grundkenntnisse oder Lernbereitschaft zu Cloud Data Services
  • Erfahrung im Umgang mit Git, Jira und Confluence
  • Fähigkeit zur nachvollziehbaren Dokumentation von Ergebnissen
  • Sehr gute Deutschkenntnisse in Wort und Schrift

Benefits & conditions

  • Satte Rabatte mit Einkaufsvergünstigungen, z. B. bei Reisen, Elektronik oder Autos
  • Fachliche und persönliche Weiterentwicklungsmöglichkeiten
  • Fit bleiben mit einer vergünstigten Mitgliedschaft bei Fitness First
  • Kostenlose Kurse zum Thema Stressmanagement und Resilienz
  • Sonderurlaub für wichtige private Anlässe, z. B. Hochzeit, Umzug, Geburt

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.ferchau.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How a Small Team Shrank a Microsoft Monorepo by 94% thumbnail
33:23
Coffee With Developers • almost 2 years ago

How a Small Team Shrank a Microsoft Monorepo by 94%

Jonathan Creamer

Improving quality with Agentic AI with Rovo Dev and Xray thumbnail
51:27
Europe 2026 Virtual • 3 months ago

Improving quality with Agentic AI with Rovo Dev and Xray

Sergio Freire

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

Related articles

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