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- Aufgaben: Design and maintain scalable data pipelines for machine learning models.
- Arbeitgeber: Join syte, an award-winning startup revolutionizing real estate with innovative tech solutions.
- Mitarbeitervorteile: Enjoy flexible work arrangements, competitive salary, and a culture of creativity and growth.
- Warum dieser Job: Make a direct impact in a collaborative team while shaping the future of sustainable construction.
- Gewünschte Qualifikationen: 4+ years as a data engineer, expertise in cloud tech, and strong Python skills required.
- Andere Informationen: This is a permanent position with opportunities for personal and professional development.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Do you love both theoretical science and practical application? Are you a strong team leader and organizer? Would you like to contribute your expertise to a young, innovative and growing startup? If you can answer yes to these questions, then syte is looking for you!
Our mission
syte is an innovative technology company founded in 2021 that is revolutionizing the real estate industry with digital solutions. We have already been awarded several times for our innovative solutions, most recently with the German AI Award 2023 and the AI Startup Award 2024. Our focus is on the development and implementation of strategies to optimize refurbishment projects with the aim of promoting sustainability and efficiency in the real estate industry.
Real estate meets tech
At syte, we recognize that the future of the construction industry lies in the fusion of architecture and technology with a strong focus on sustainable refurbishment. We strive to attract top talent to help us align our processes closely with our clients\‘ needs, particularly in the field of building refurbishment. Our innovative approach uses advanced data collection to increase the efficiency of our machine learning analyses and monitor comprehensive refurbishment projects. Our aim is not only to provide urban development proposals, but also a comprehensive project development calculation that takes into account financial aspects such as rents, construction costs, tax benefits and government subsidies for energy-efficient refurbishments. This enables us to quickly generate economic forecasts that support investment decisions in the refurbishment sector.
Tasks
Position overview
ENERsyte is a special research project. It focuses on building a prototype for a product in a user-centric and iterative way. Thus the nature of the project is a magic symbiosis of research and agile product development.
As the Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable pipelines to process data and compute ML models. To achieve this, you will be researching and applying the latest technological standards. You will work closely with data scientists, analysts, software engineers and other stakeholders to ensure the availability, accuracy, and reliability of our data. Your expertise in data engineering and best practices will be essential in optimizing performance and enabling our ambitious AI projects.
Key Responsibilities:
- Design, develop, and maintain scalable pipelines to process data and run machine learning models
- Build and manage data warehouses, data lakes, and other data storage solutions
- Research and apply the latest cutting edge standards for building scalable data infrastructures in the cloud
- Collaborate with data scientists and other team members to understand requirements and deliver high-quality solutions
- Write clean, maintainable, and efficient code, and participate in code reviews and pair programming sessions
Requirements
- 4+ years practical experience as a data engineer or similar role
- Theoretical foundation in data engineering and/or database theory
- Practical experience in building and operating data heavy and processing heavy pipelines
- Experience in Cloud technologies, ideally Google Cloud Platform
- Expertise in automation/orchestration tools (e.g. Kubeflow, Airflow, Dagster, Dataform, Prefect)
- Experience with big data technologies (e.g., BigQuery, Hadoop, Spark, Kafka)
- Proficiency in Python
- Excellent problem-solving skills and attention to detail
- Ability to work both independently and as part of a collaborative team
- Strong communication skills
Benefits
- Exciting role with a direct impact on the company\’s success
- Flat hierarchies and fast decision-making processes
- Passionate team of skilled professionals in a collaborative and innovative environment
- Culture that values creativity, continuous learning, and personal growth
- Competitive salary
- Comprehensive benefits package
- Flexible working arrangements including remote work and workations
Permanent Position
This is a permanent employment position. syte is committed to continue the investment into research & development. The ENERsyte project ends on November 30 2025 and we will shape the future of the team and your role together with you.
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Senior Data Engineer Arbeitgeber: syte
Kontaktperson:
syte HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Data Engineer
✨Tip Number 1
Familiarize yourself with the latest cloud technologies, especially Google Cloud Platform, as this is crucial for the role. Consider exploring online courses or tutorials that focus on data engineering in the cloud to enhance your knowledge.
✨Tip Number 2
Showcase your experience with automation and orchestration tools like Kubeflow or Airflow. Be prepared to discuss specific projects where you implemented these tools to optimize data pipelines during the interview.
✨Tip Number 3
Highlight your collaborative skills by preparing examples of how you've worked with data scientists and software engineers in the past. This will demonstrate your ability to communicate effectively and deliver high-quality solutions.
✨Tip Number 4
Stay updated on the latest trends in big data technologies like Spark and Kafka. Being knowledgeable about these tools will not only help you in the application process but also show your commitment to continuous learning.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Company and Role: Dive deep into syte's mission and values. Familiarize yourself with their innovative approach to the real estate industry and how your role as a Senior Data Engineer fits into their vision.
Highlight Relevant Experience: In your application, emphasize your 4+ years of practical experience in data engineering. Be specific about your work with scalable pipelines, cloud technologies, and big data tools, showcasing how these experiences align with the job requirements.
Showcase Your Technical Skills: Clearly outline your expertise in Python, automation/orchestration tools, and any relevant cloud technologies like Google Cloud Platform. Providing examples of past projects where you utilized these skills can strengthen your application.
Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your passion for both theoretical science and practical application. Discuss how your background and skills make you a perfect fit for syte's innovative environment and their focus on sustainability in the real estate sector.
Wie du dich auf ein Vorstellungsgespräch bei syte vorbereitest
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering and how it aligns with syte's mission. Share specific examples of projects where you've successfully designed and implemented scalable data pipelines, highlighting your practical experience.
✨Demonstrate Your Technical Expertise
Be prepared to discuss your experience with cloud technologies, especially Google Cloud Platform, and automation tools like Airflow or Kubeflow. Highlight any big data technologies you've worked with, such as Spark or Kafka, and be ready to explain how you've applied them in real-world scenarios.
✨Emphasize Collaboration Skills
Since the role involves working closely with data scientists and other team members, share examples of how you've successfully collaborated in past projects. Discuss your approach to understanding requirements and delivering high-quality solutions as part of a team.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills and attention to detail. Prepare to discuss specific challenges you've faced in data engineering and how you overcame them, showcasing your analytical thinking and ability to work independently.
