Data Engineer (f / m / x) Dortmund

NETCONOMY; Essen; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading digital solutions firm in Germany is seeking a Data Engineer with substantial experience in Databricks and Apache Spark. The role involves designing and maintaining data pipelines, building ETL processes, and collaborating with teams. Ideal candidates will have skills in Python, SQL, and cloud platforms like Azure. Flexible, hybrid working models and a supportive team environment are offered.

Leistungen

Flexible working models

Structured onboarding and mentoring

Monthly meal allowance

Social events and team building activities

Qualifikationen

• 3+ years of hands-on experience as a Data Engineer working with Databricks and Apache Spark.
• Experience with cloud platforms like Azure, AWS, or GCP.
• Excellent communication and collaboration skills in English and German (min. B2 levels).

Aufgaben

• Design, develop, and maintain robust data pipelines using Databricks, Spark, and Python.
• Build scalable ETL processes to ingest, transform, and load data.
• Collaborate with data scientists and analysts to meet data needs.

Kenntnisse

Python programming

Data manipulation libraries

SQL

Collaboration skills

Agile methodology

Tools

Databricks

Apache Spark

Azure

Jobbeschreibung

Job Title: Data Engineer (Databricks)

Requirements:

• 3+ years of hands-on experience as a Data Engineer working with Databricks and Apache Spark
• Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL)
• Experience with core components of the Databricks ecosystem: Databricks Workflows, Unity Catalog, and Delta Live Tables
• Solid understanding of data warehousing principles, ETL / ELT processes, data modeling, and database systems
• Proven experience with at least one major cloud platform (Azure, AWS, or GCP)
• Excellent SQL skills for data querying, transformation, and analysis
• Excellent communication and collaboration skills in English and German (min. B2 levels)
• Ability to work independently as well as part of a team in an agile environment

Responsibilities:

• Design, develop, and maintain robust data pipelines using Databricks, Spark, and Python
• Build scalable ETL processes to ingest, transform, and load data from various sources into cloud-based data lakes and warehouses
• Leverage Databricks ecosystem components (SQL, Delta Lake, Workflows, Unity Catalog) for reliable data workflows
• Integrate with cloud services (Azure, AWS, GCP) for secure and cost-effective data solutions
• Contribute to data modeling and architecture decisions for data landscape maintainability
• Ensure data quality through validation and governance adherence
• Collaborate with data scientists and analysts to meet data needs
• Stay updated with advancements in Databricks, data engineering, and cloud tech

Technologies:

• Azure
• CI / CD
• Cloud
• Databricks
• DevOps
• Support
• Machine Learning
• Power BI
• Python
• PySpark
• Spark
• Terraform
• Unity
• GameDev
• Looker

Additional Information:

NETCONOMY has grown over the past 20 years from a startup to a 500-people team operating across 10 European locations, emphasizing agile, cross-functional collaboration and diverse backgrounds to create innovative digital solutions.

Our Offer:

• Flexible working models with hybrid options
• Structured onboarding, mentoring, and training
• Annual company summit for networking and learning
• Social events like pizza & games evenings, hiking, Christmas parties
• Monthly meal allowance and partner restaurant discounts
• Support for eco-friendly transportation

Contact Information:

Brauquartier 2, 8055 Graz, Austria

Phone: [phone]

Email: [e-mail]

Additional Details:

NETCONOMY specializes in Digital Strategy, Cloud Adoption, Digital Architecture, Consulting, and Innovation, with locations across Europe and a comprehensive online presence for careers, industries, partnerships, and company news.