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Data Engineer (f/m/d) - 40h - Augsburg - GreenTech Startup

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Germany, Arizona (USA), Anywhere

Offer summary

Qualifications:

Bachelor's/Master's in relevant field, 3+ years of professional experience, Advanced SQL/RDBMS and Python/PySpark skills, Experience with ETL pipelines and cloud platforms, Geospatial data knowledge is a plus.

Key responsabilities:

  • Design, develop, and maintain ETL pipelines and data warehouse
  • Collaborate with software engineers and data scientists
  • Ensure data integrity, accuracy, and security
  • Generate insights, reports, and collaborate with stakeholders
credium logo
credium Financial Services Startup https://www.credium.de/
51 - 200 Employees
About credium
Member of Crédit Agricole Group Leasing and financial company established in 1997, with name CP Leasing, a.s., as a daughter company of Ceska pojistovna, the bigest insurance company in Czech Republic, member of PPF Group. In 2005 CP Leasing was sold to French company Sofinco, now CACF (Credit Agricole Consumer Finance), a member of Crédit Agricole Group and in 2006 the name was changed to Credium, a.s. In 2008 Credium extend its activity into Slovak Republic by acquisition of OTP Leasing company (now Credium Slovakia) Credium is focused to financing of cars with wide range of product. It cooperates with Importers FIAT Group , Mazda, Land Rover, Jaguar and Jeep and also with rest of cars importers and dealers in Czech and Slovak Republic.
See more credium offers

Job description

Your new job.

Join our dynamic startup team as an experienced Data Engineer. You will play a key role in designing, developing, and maintaining ETL pipelines and our data warehouse, ensuring high data quality. Collaborate closely with software engineers and data scientists to deliver accurate and complete building data for our customers. This role aligns with credium’s mission of driving innovation with geodata and creating sustainable, data-driven solutions. Make a significant impact in a company dedicated to sustainability and cutting-edge AI technology.

  • ETL Processes: You design, implement, and maintain ETL processes in a cloud environment.

  • Data Pipelines: You build scalable and efficient data ingestion and transformation pipelines for large-scale geospatial data.

  • Cloud Architecture: You develop and maintain cloud architecture as part of the Data Engineering Team.

  • Data Warehouse: You develop and maintain the data warehouse for building and geospatial data.

  • Data Integrity: You ensure data integrity, accuracy, and security across various platforms and systems.

  • Data Documentation: You model data, map data, and document data lineage.

  • Data Insights: You generate data insights and reports.

  • Stakeholder Collaboration: You collaborate with stakeholders to understand their data requirements and ensure the data meets their needs.

Your skills.
Don’t worry if you don’t fulfill all criteria. Everyone’s got a focus.

  • Professional Experience and Educational Background: You are hold a Bachelor's or Master's degree in Computer Science, Information Systems, Engineering or a related field. You have at least 3 years of relevant professional experience, ideally in a start-up environment, demonstrating that you can adapt well to and thrive in dynamic environments.

  • Communication Skills: You have excellent written and verbal communication skills in English (and ideally German), to collaborate with cross-functional teams and external stakeholders.

  • Advance Database Knowledge: You acquired advanced SQL/RDBMS programming skills (Postgres/Oracle/MS) and Python and PySpark skills for data processing and analysis

  • Scalable ETL Pipeline: You gained designed, implemented and maintained scalable and efficient ETL pipelines. You deployed ML models, as a plus.

  • Cloud Experience: You have relevant experience with of cloud platforms, with Azure (Synapse/Functions) being a strong plus

  • Programming Skills: You have programming experience (e.g., Python, OOPL) and an interest in learning PySpark.

  • Geospatial Data: You have experience with geospatial data (PostGIS, QGIS, Apache Sedona etc.) as a strong plus.

  • Startup Mindest: You show eagerness to learn, can work independently and in a team, and are willing to go the extra mile.

We offer a competitive salary as well as the opportunity to be a part of a fast-paced and exciting startup environment. If you are passionate about data engineering and want to make a real impact, we want to hear from you!

Please apply with your CV and cover letter.

Benefits of working with credium.

Step into the empowering and inclusive environment at credium, where innovation, sustainability, and diversity drive our mission. Discover the unique benefits of being part of our team:

  • Competitive and Flexible Work Environment: Enjoy not just a competitive salary, but also the flexibility that matches your lifestyle, whether it’s flexible hours, the option to work from home, or fully remote arrangements in exceptional cases.

  • Collaborate with passionate minds: Join a team of ambitious individuals, all driven by a shared goal to excel and make a significant impact in the world of AI and sustainability.

  • Intercultural and international community: Our culture thrives on collaboration, respect, and the shared ambition to excel in the AI and sustainability realm.

  • Embrace a steep learning curve and innovation: Gain invaluable insights and hands-on experience in a venture-capital-backed company that’s at the forefront of AI innovation in sustainable building transformation.

  • Virtual Stock Option Plan (VSOP): At credium, we value your contributions and dedication. As part of our permanent core team, you will be eligible for our Virtual Stock Option Plan, offering a stake in the company's growth and success.

  • Make a real-world impact: Be part of a transformative journey with credium, where your work directly contributes to turning German buildings into sustainable, eco-friendly ones and fighting climate change.

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About us
credium is an AI-powered company that specializes in building data insights by refining open data such as aerial imagery and LiDAR data using AI technologies. This enables credium to generate up-to-date, reliable, and nationwide building information as an on-demand service. In other words, credium is able to transform raw data into useful insights by leveraging artificial intelligence and machine learning techniques, providing users with accurate and up-to-date information about buildings and other structures in a timely manner. 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Lean Startup MethodologyData PipelinesPySparkAttitude ControlCloud Computing ArchitectureAzure FunctionsData IntegrityAzure Synapse AnalyticsPython (Programming Language)SQL (Programming Language)ArcGIS (GIS Software)Stakeholder ManagementPostGISApache SINGABusiness IntelligenceData Warehousing

Other Skills

  • Independent Thinking
  • Data Reporting
  • Collaboration
  • Verbal Communication Skills
Are you interested?

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