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Data Engineer (f/m/d) - Full-time - Remote

Remote: 
Full Remote
Contract: 
Full time
Work from: 
Czechia

Offer summary

Qualifications:

Degree in Computer Science or related field, Experience with Azure cloud data environment, Strong Python skills and ETL pipeline experience, RDBMS knowledge with experience in PostgreSQL/Oracle/MSSQL.

Key responsabilities:

  • Design and maintain data pipelines and architecture
  • Ensure data integrity and collaborate with stakeholders
credium logo
credium Financial Services Startup http://www.credium.cz
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.
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Job description

Your new job.

We are seeking a motivated Data Engineer to join our fast-paced start-up team.

In this role, you will support the development and maintenance of our data infrastructure, contributing to the design of data architecture, building and optimizing data pipelines, managing our data warehouse, and ensuring data quality across the entire data lifecycle.

You will work closely with our product manager, software engineers, and data scientists to ensure our data is accurate, reliable, and aligned with business needs, helping to drive data-informed decisions for our customers.

This role is perfect for someone who thrives on responsibility, enjoys tackling both big-picture architecture and detailed data challenges, and values continuous learning and self-development.

Your skills.

Responsibilities:

  • You design, implement and maintain robust, scalable and efficient data ingestion and transformation pipelines, processing large scale open geospatial data

  • You develop and maintain the cloud architecture as well as the data warehouse to ensure high performance and scalability

  • You ensure data integrity, accuracy, and security across various platforms and systems

  • You create data model, data mapping, and data lineage documentation

  • You generate data insights and reports

  • You collaborate with internal and external stakeholders to understand their data requirements and ensure data meets their needs

  • You take ownership of architecture decisions, balancing innovation with practical considerations

Qualifications:

Don’t worry if you don’t fulfil all criteria. Everyone’s got a focus. 

  • You hold a degree in Computer Science, Data Engineering, or related field or comparable working experience.

  • You have professional experience with the Azure cloud data environment.

  • You have professional experience in designing, implementing and maintaining scalable and efficient ETL pipelines.

  • You possess strong Python skills (pandas, numpy, dask, and other relevant libraries).

  • You have first experienced with transforming data in PySpark for handling large datasets.

  • You have solid RDBMS skills and experience with database management. (PostgreSQL/Oracle/MSSQL)

  • You have strong sense of responsibility, with the ability to tackle both high-level design and nitty-gritty data issues.

  • You proved your ability to document and explain complex technical concepts.

  • You have strong communication skills to effectively collaborate with cross-functional teams and external stakeholders

  • (Bonus) Experience with geospatial data is a plus (PostGIS, QGIS, Apache Sedona etc.)

  • (Bonus) Experience working in a start-up environment

We offer a competitive salary as well as the opportunity to be a part of a fast-paced and exciting start-up 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.

Enjoy the spirit of working in an inspiring start-up atmosphere. You can count on the following points: 

  • You will be working with people who all want to grow and excel 

  • Your international colleagues will truly support you because we mutually rely on one another 

  • You gain unique experience of working in a venture-capital-backed AI company 

  • You will get a competitive salary and flexible working settings (working hours, home office, all-remote possible etc.) 

  • Newly renovated office in the heart of Augsburg with an indoor garden, coffee-flat and ergonomically designed workplaces (e.g. height-adjustable desks)

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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. 

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Experience

Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.
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