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Lead Data Solutions Engineer

vor 3 Monaten


Münster, Nordrhein-Westfalen, Deutschland syte GmbH Vollzeit

Do you recognize the significance of data as a crucial asset in today's world? Are you aware that maximizing this asset necessitates exceptional software engineering skills? If so, you may find a great opportunity with us.

About Us

syte GmbH is a pioneering technology firm that is transforming the real estate sector through innovative digital solutions. We have received multiple accolades for our groundbreaking work, including prestigious awards for our advancements in artificial intelligence. Our primary focus is on crafting and executing strategies that enhance building and renovation projects, with an emphasis on sustainability and efficiency.

The Intersection of Real Estate and Technology

At syte, we believe that the future of the construction industry lies in the integration of architectural design and technological innovation, particularly in sustainable renovation practices. We aim to attract top-tier talent to help us align our operations with the specific needs of our clients, especially in the realm of building renovations. Our forward-thinking approach employs sophisticated data collection methods to boost the efficiency of our machine learning analyses and oversee extensive renovation projects. Our goal is to not only provide urban development strategies but also to deliver comprehensive project development assessments that consider financial factors such as rental income, construction expenses, tax incentives, and government support for energy-efficient renovations. This allows us to swiftly generate economic forecasts that aid investment decisions in the renovation sector.

Life at syte

We offer an engaging role that directly influences the success of our organization within a dynamic and expanding startup environment. At syte, you will experience a company culture characterized by flat hierarchies, rapid decision-making processes, and a young, enthusiastic team eager to collaborate with you. The position allows for remote work, with regular meetings held at our office.

Key Responsibilities

Role Overview

As a Lead Data Solutions Engineer, you will take charge of designing, implementing, and maintaining our data pipelines, data repositories, and data processing frameworks. You will collaborate closely with data scientists, analysts, backend engineers, and other stakeholders to ensure the availability, accuracy, and reliability of our data. Your expertise in data engineering and best practices will be vital in enhancing performance and facilitating our ambitious AI initiatives.

Main Duties:

  • Design, develop, and sustain scalable ETL/ELT processes to ingest, cleanse, and transform data from diverse sources.
  • Construct and manage data warehouses, data lakes, and other data storage solutions.
  • Optimize and oversee data pipelines to guarantee efficient and reliable data processing.
  • Collaborate with data scientists and analysts to comprehend data requirements and deliver high-quality data solutions.
  • Write clean, maintainable, and efficient code, and engage in code reviews and pair programming sessions.
  • Troubleshoot and resolve data-related issues promptly.
  • Stay informed about emerging trends and technologies in data engineering and apply them to enhance our systems.
Qualifications

Requirements:

  • 5+ years of practical experience in data engineering or a related role.
  • Strong expertise in automation/orchestration tools (e.g., Prefect, Kubeflow, Airflow, Dagster, Dataform).
  • Proficient in SQL and experienced with database management systems (e.g., PostgreSQL, MySQL, Redshift).
  • Familiarity with big data technologies (e.g., BigQuery, Hadoop, Spark, Kafka).
  • Proficient in Python.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) and cloud services (e.g., GCP, AWS, Azure).
  • Excellent problem-solving abilities and attention to detail.
  • Ability to work independently and collaboratively within a team.
  • Strong communication skills and the capacity to articulate technical concepts.
  • Experience in data science and machine learning is a plus.
  • Experience with geographic processing (GDAL, QGIS, PostGIS, CityDB) is a plus.
What We Offer
  • Be part of a forward-thinking company that is making a tangible impact in real estate and sustainable development.
  • Collaborate with a team of passionate, skilled professionals in an innovative environment.
  • Enjoy a competitive salary, comprehensive benefits package, and flexible working arrangements.
  • Experience a culture that values creativity, continuous learning, and personal growth.
  • Work from your preferred location, whether at home or in our office.

We look forward to welcoming you to our team.