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- Aufgaben: Design and maintain data pipelines, optimize architectures, and ensure data quality.
- Arbeitgeber: Join Source Group International, a leader in fintech innovation in Munich.
- Mitarbeitervorteile: Enjoy a full-time role with opportunities for growth and collaboration in a dynamic environment.
- Warum dieser Job: Be part of a cutting-edge team that values data-driven decisions and innovation.
- Gewünschte Qualifikationen: Bachelor’s or Master’s in Computer Science; 3+ years in data engineering required.
- Andere Informationen: Fluency in English is essential; German is a plus!
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Direct message the job poster from Source Group International
For one of our leading customers in the fintech space across Munich, we are keen to expand our data opportunity and are looking for a skilled senior Data Engineer to join our team and help us build scalable, high-performance data infrastructure.
Your Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes.
- Build and optimize data architectures for structured and unstructured data.
- Work closely with Data Scientists and Analysts to ensure data availability and quality.
- Implement and manage cloud-based (AWS, Azure, or GCP) data platforms and databases.
- Ensure data security, governance, and compliance with industry standards.
- Optimize query performance and manage large-scale data processing.
- Automate workflows and improve system reliability using DevOps best practices.
Your Profile
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering, big data, or related fields.
- Proficiency in SQL and experience with databases like PostgreSQL, MySQL, or Snowflake.
- Strong programming skills in Python, Java, or Scala.
- Hands-on experience with ETL tools (Airflow, dbt, Talend, or similar).
- Experience with cloud services (AWS, Azure, or GCP) and data warehousing.
- Fluent in English; German is a plus but not required.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Data Infrastructure and Analytics
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Data Engineer Arbeitgeber: Source Group International
Kontaktperson:
Source Group International HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud services like AWS, Azure, or GCP. Highlight specific projects where you've implemented these technologies, as this will resonate well with the job poster.
✨Tip Number 2
Connect with current employees or alumni from the company on LinkedIn. Engaging in conversations about their experiences can provide you with valuable insights and potentially a referral.
✨Tip Number 3
Prepare to discuss your experience with ETL tools like Airflow or dbt during the interview. Be ready to explain how you've used these tools to optimize data pipelines in previous roles.
✨Tip Number 4
Stay updated on the latest trends in data engineering and big data technologies. Mentioning recent developments or tools in your conversation can demonstrate your passion and commitment to the field.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as experience with ETL processes and cloud services.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, big data, and your proficiency in SQL and programming languages like Python or Java. Showcase specific projects that demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the job requirements. Mention your experience with data pipelines, cloud platforms, and any collaboration with Data Scientists or Analysts.
Highlight Relevant Projects: In your application, include examples of past projects where you designed data architectures or optimized data processing. This will help illustrate your hands-on experience and problem-solving abilities.
Wie du dich auf ein Vorstellungsgespräch bei Source Group International vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and ETL tools. Bring examples of past projects where you designed data pipelines or optimized data architectures, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Data Needs
Research the fintech space and understand the specific data challenges that companies in this industry face. This knowledge will help you tailor your answers and show that you are genuinely interested in contributing to their goals.
✨Discuss Cloud Experience
Since the role involves managing cloud-based data platforms, be ready to talk about your experience with AWS, Azure, or GCP. Highlight any projects where you implemented cloud solutions and how they improved data accessibility and security.
✨Emphasize Collaboration Skills
Data Engineers often work closely with Data Scientists and Analysts. Share examples of how you've collaborated with cross-functional teams to ensure data quality and availability, showcasing your ability to communicate effectively.
