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Experience Level
Experience
Qualifications
The ideal candidate will possess a strong background in data engineering, with expertise in SQL, Python, and data modeling. Familiarity with big data technologies such as Hadoop or Spark is a plus. A degree in Computer Science, Engineering, or a related field is preferred. Strong problem-solving skills and the ability to work collaboratively in a team environment are essential.
About the job
This Data Engineer position at airapps centers on designing, building, and maintaining data pipelines and architectures. The work supports the company’s applications and ensures consistent, high-quality data for analytics.
Collaboration is a key part of the role. Data Engineers here work closely with data scientists and software engineers to improve data processing and reliability across projects.
Location
This role is based in Munich.
What you will do
Build and maintain data pipelines that support airapps’ products
Develop and refine data architectures for reliable analytics
Work with data scientists and software engineers to improve data quality and processing
About airapps
airapps is a forward-thinking technology company based in Munich, dedicated to delivering cutting-edge solutions that drive business success. Our team is composed of passionate professionals who thrive in a collaborative and innovative environment.
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Full-time|On-site|Budapest, Hungary; Munich, Germany; Tel Aviv, Israel
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D ONE is an elite consultancy firm specializing in data, artificial intelligence, and transformation initiatives.We empower organizations to translate their ambitions into tangible impact by aligning strategic goals, establishing robust data foundations, delivering scalable high-impact solutions, and fostering trust through governance and a people-centric approach. Operating from Zurich, Munich, and Athens, we leverage our extensive expertise across the entire data value chain to support clients throughout Europe. Our methodology is pragmatic, focused on people, and designed to create lasting value.In this position, you will guide our clients through the conception, planning, and execution of data and AI solutions. Based in our Munich office, you will collaborate with your project team to deliver the high quality and reliability for which we are renowned.Your Responsibilities:Assessing client requirements and designing customized data solutions.Engaging in multiple project areas, including cloud engineering, infrastructure, data engineering, data science, and generative AI applications.Communicating findings and insights to stakeholders and management.Occasionally traveling to Switzerland and other international locations to meet clients and collaborate with our headquarters team in Zurich.What You Bring:A university degree in Computer Science or a related field.A minimum of 5 years of relevant work experience.Extensive hands-on experience with contemporary data engineering tools and platforms (e.g., Azure Data Factory, Databricks, Synapse, dbt, Palantir Foundry), along with proficiency in SQL, Python, and Spark.Experience in designing and implementing generative AI solutions, such as retrieval-augmented generation (RAG) systems, copilots, intelligent search, and workflow automation.A strong grasp of data modeling and data warehousing principles.A pragmatic and results-driven mindset.Excellent communication skills in English.What We Offer:A straightforward and low-distraction environment that allows for a focus on what truly matters.An international team of skilled professionals from diverse backgrounds, who are ambitious, enjoy challenges, and value a positive work atmosphere.Growth opportunities through our D ONE Academy, including mentoring programs, knowledge-sharing sessions, expert groups, and tailored training in soft skills and leadership.Regular team-building events and social gatherings.To Succeed in This Role, You Should:Be committed to understanding your clients' needs.Deliver exceptional results that provide high business value in an easily understandable format.Possess the intellectual agility needed to facilitate smooth collaboration.Value innovative and collaborative teamwork.
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Apr 28, 2026
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