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- Aufgaben: Join our start-up as a Data Engineer, building and optimizing data pipelines.
- Arbeitgeber: Be part of a fast-paced, venture-capital-backed AI company focused on growth.
- Mitarbeitervorteile: Enjoy flexible working hours, remote options, and a competitive salary.
- Warum dieser Job: Make a real impact in data engineering while collaborating with passionate colleagues.
- Gewünschte Qualifikationen: Degree in Computer Science or related field; strong Python and Azure skills required.
- Andere Informationen: Experience with geospatial data is a plus; work in a newly renovated office.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Data Engineer (f/m/d) – Full-time – Remote
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.
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.
Profile
- 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 experience with transforming data in PySpark for handling large datasets.
- You have solid RDBMS skills and experience with database management (PostgreSQL/Oracle/MSSQL).
- You have a strong sense of responsibility, with the ability to tackle both high-level design and detailed data issues.
- You can 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
- 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).
Important note: Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.
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Data Engineer (f/m/d) - Full-time - Remote Arbeitgeber: Credium
Kontaktperson:
Credium HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer (f/m/d) - Full-time - Remote
✨Tip Number 1
Familiarize yourself with the Azure cloud data environment, as it's a key requirement for this role. Consider taking online courses or tutorials to deepen your understanding of Azure services and how they can be applied in data engineering.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like pandas, numpy, and dask. Building small projects or contributing to open-source can help you demonstrate your proficiency and passion for data manipulation.
✨Tip Number 3
Gain hands-on experience with ETL processes by working on personal projects or internships. This will not only enhance your skills but also give you concrete examples to discuss during interviews.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who have experience in start-up environments. Attend meetups or webinars to learn from their experiences and potentially get referrals.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer (f/m/d) - Full-time - Remote
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Engineer position. Tailor your application to highlight how your skills and experiences align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your motivation to work in a start-up environment. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines and architecture.
Highlight Relevant Skills: In your CV, emphasize your experience with Azure cloud data environments, ETL pipelines, Python, and any relevant tools like PySpark. Be sure to include any experience with geospatial data if applicable, as this is a bonus for the role.
Showcase Collaboration Experience: Since the role involves working closely with product managers, software engineers, and data scientists, include examples in your application that demonstrate your strong communication skills and ability to collaborate effectively with cross-functional teams.
Wie du dich auf ein Vorstellungsgespräch bei Credium vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure cloud environments, ETL pipelines, and Python libraries like pandas and numpy. Highlight specific projects where you successfully implemented these technologies.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle both high-level architecture and detailed data challenges. Share examples of how you've approached complex data issues in the past.
✨Communicate Effectively
Since collaboration is key in this role, practice explaining technical concepts in a clear and concise manner. Be ready to discuss how you've worked with cross-functional teams to meet data requirements.
✨Express Your Passion for Continuous Learning
This position values self-development, so share your enthusiasm for learning new technologies and methodologies in data engineering. Mention any relevant courses or certifications you've pursued.
