IT & Software Developer jobs in Germany

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NETCONOMY jobs

Data Engineer (f/m/x) (EN)

50.000 - 60.000 €
HansastraĂźe 30, Dortmund
50.000 - 60.000 €
Company Size icon
Company Size
200-500
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
German
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
• 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 techniques, 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
Nice to have:
• Understanding of data governance, data quality, and compliance best practices • Experience with working in multi-cloud environments • Familiarity with DevOps, Infrastructure-as-Code (e.g., Terraform), and CI/CD pipelines • Interest or experience with machine learning or AI technologies • Experience with data visualization tools such as Power BI or Looker

Technologies

AI
CI/CD
Databricks
Looker
Machine Learning

Responsibilities

As a Data Engineer with a focus on Databricks, you will play a key role in building modern, scalable, and high-performance data solutions for our clients. You’ll be part of our growing Data & AI team and work hands-on with the Databricks platform, supporting clients in solving complex data challenges. • Designing, developing, and maintaining robust data pipelines using Databricks, Spark, and Python • Building efficient and scalable ETL processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses • Leveraging the Databricks ecosystem (SQL, Delta Lake, Workflows, Unity Catalog) to deliver reliable and performant data workflows • Integrating with cloud services such as Azure, AWS, or GCP to enable secure, cost-effective data solutions • Contributing to data modeling and architecture decisions to ensure consistency, accessibility, and long-term maintainability of the data landscape • Ensuring data quality through validation processes and adherence to data governance policies • Collaborating with data scientists and analysts to understand data needs and deliver actionable solutions • Staying up to date with advancements in Databricks, data engineering, and cloud technologies to continuously improve tools and approaches

Methodology

Description

NETCONOMY has grown over the past 20 years from a startup to a 500-people team working across 10 European locations, with a belief in agile, cross-functional collaboration and diverse backgrounds to create outstanding digital solutions. OUR OFFER: • Flexible Working Models – Choose when and where you work, with hybrid options available. • Career Development & Onboarding – Benefit from a structured onboarding, mentoring phase, and individual training opportunities. • Company Summit – Participate in an annual in-house conference that fosters professional and personal connections. • Social Events – Enjoy events such as pizza & games evenings, hiking, and Christmas parties. • Snacks and Wellbeing – Receive a monthly meal allowance and discounts at partner restaurants. • Mobility Support – Get assistance with eco-friendly transportation costs. Contact Information: Brauquartier 2, 8055 Graz, Austria +43 316 81 55 44 [email protected] Additional Information: NETCONOMY offers insights into Digital Strategy, Cloud Adoption, Digital Architecture Mapping, Consulting and Innovation, and more. The company is active in multiple locations including Germany, Austria, Switzerland, Serbia, Spain, and the Netherlands, and provides further details about careers, industries, partnerships, and company news through its website and social media channels.

Benefits

job benefits iconCoffee, tea
job benefits icon5 weeks vacation
job benefits iconInternational team
job benefits iconTeam social events
job benefits iconAnnual company retreat
job benefits iconCareer paths and annual reviews
job benefits iconChoose your hardware
job benefits iconCompany workshops and knowledge sharing
job benefits iconConferences
job benefits iconCool office
job benefits iconFlexible work time
job benefits iconMaternity/Paternity leave
job benefits iconPart-time possible
job benefits iconSabbatical possibility
job benefits iconWell connected office
job benefits iconCoaching & mentoring
job benefits iconFresh fruits
job benefits iconHybrid work
job benefits iconHome office / Remote 3 days per week
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You can find Data Engineer salaries in Germany here.

How many Data Engineer jobs are in Germany?

Currently, there are 1827 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is Germany a good place for Data Engineers?

Germany is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in Germany?

Qodia, urgewald e.V., regify GmbH, INFOMOTION GmbH, Roland Mills United GmbH & Co. KG, krisenchat gGmbH, ControlExpert GmbH among others, are currently hiring for Data roles in Germany.

The company with most openings is FERCHAU - Connecting People and Technologies as they are hiring for 114 different Data Engineer jobs in Germany. They are probably quite committed to find good Data Engineers.