- Deneyim
- 2+ yıl
- Maaş
- —
- Açılışlar
- 1
- Yayınlandı
- 9 saat önce
- Çalışma modu
- Ofiste
- Eğitim
- Yüksek lisans
- Sürdürmek
- Başvuru yapılması gerekmektedir.
Çalışacağınız yer
İş tanımı
About syte and Your Mission
Join syte, a PropTech firm based in Münster, Germany, developing AI-powered software to transform real estate decision-making. Our platform replaces lengthy expert consultations with instant, AI-driven insights, helping project developers, builders, banks, and investors determine what, where, and whether to build, renovate, or acquire properties.
As a Junior Data Engineer, you'll manage end-to-end processing of our production data—from ingestion and extraction through advanced algorithmic processing to deployment. Collaborating closely with the product team, you will identify their data needs and deliver high-quality data. Your focus will be on automating workflows and optimizing efficiency. We handle hundreds of terabytes daily, so scalability and performance are critical.
Responsibilities
- Expand our data ecosystem by researching and evaluating new sources, managing the full data transformation pipeline from initial download to production-ready formats.
- Extract insights from complex, multidimensional datasets such as 3D building models and LiDAR point clouds, converting raw geometry into actionable information.
- Develop self-sustaining data pipelines using Airflow, Dataform, and Python, minimizing manual efforts and enhancing platform reliability.
- Ensure high data quality by monitoring pipelines, detecting errors, and implementing additional validations.
- Design and optimize scalable data pipelines on Google Cloud to efficiently process hundreds of terabytes while controlling infrastructure costs.
- Leverage modern AI tools like Claude Code and Copilot to enhance development and proactively explore new AI applications in data engineering.
Candidate Profile
- Education: Master's degree in a technical discipline such as Geoinformatics, Computer Science, or Business Informatics.
- Experience: Ideally, at least two years of full-time professional experience as a Data Engineer or similar, including internships, student jobs, or project work involving relevant tasks.
- Technical Skills: Practical knowledge of Python, SQL, and Git is essential. Experience with Docker, Kubernetes, and cloud platforms—especially Google Cloud—is a plus.
- Languages: Fluent English and German (C1 level), as English is primary internal communication language, while German is required for handling local data and communications.
- Passion for Data: Strong dedication to data quality, curiosity for exploring new datasets, and enthusiasm for discovering new data sources.
- Reliability: Committed to meeting deadlines, taking ownership of outcomes, and proactively communicating issues with contingency plans before deadlines.
- Domain Interest: Motivated to learn and contribute in the demanding PropTech sector; prior experience is advantageous.
- Learning Aptitude: Eager to grow rapidly, make significant impact within a fast-growing startup, and stay ahead in technologies such as cloud computing and AI.
Start Date & Location
- Start: As soon as possible
- Workplace: Münster, with approximately 2-3 days per week onsite.
Benefits
- Competitive salary acknowledging your value.
- Participation in a virtual stock option program (VSOP) depending on role and responsibilities.
- State-of-the-art hardware and software for your work.
- Quarterly all-team meetups for collaboration and celebration.
- Flexibility including opportunities for remote work abroad and shared 'workations'.
- Access to coaching and mental health resources to support your growth and wellbeing.
- Bringing your dog to the office is welcome.
- Annual personal benefit budget of €2,200 to spend on:
- Professional and private upskilling opportunities.
- Additional workspace equipment beyond Apple hardware.
- Tax-advantaged benefits like commuter allowances, internet subsidies, childcare support.
- Health and wellness activities such as gym memberships or physiotherapy.
- Option to lease a bicycle through a business bike program.
Application Notes
Please upload complete application materials including your resume, degrees, and work certificates. A short cover letter is optional but appreciated.