Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Build and maintain scalable data pipelines using Snowflake, Looker, Airflow, and dbt.
- Arbeitgeber: Join Raisin, a fast-growing fintech company revolutionizing open banking in savings and investments.
- Mitarbeitervorteile: Enjoy flexible hours, remote work, €2,000 development budget, and 28 vacation days.
- Warum dieser Job: Be part of a diverse team in a modern office, fostering collaboration and continuous learning.
- Gewünschte Qualifikationen: Solid experience with Airflow, Python, SQL/dbt; Bachelor's in relevant fields required.
- Andere Informationen: Work in the trendy Kreuzberg district with great transport links and plenty of local amenities.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
The Risk Controlling & Regulatory Reporting is a key function within the company that is responsible for generation of reports for regulatory and risk controlling purposes for Raisin.
To this extent, we build and maintain data pipelines using Snowflake, Looker, Airflow (MWAA) and dbt that process financial data and transform it. We then make these accessible to our regulatory and risk teams, who rely on this data to perform internal audits and report KPIs to regulatory authorities.
Your Responsibilities
- Work on scalable data pipelines to efficiently process and analyze large volumes of data, utilizing Snowflake, Looker, Airflow and dbt.
- Collaborate with stakeholders to help translate their requirements into technical steps and coordinate the projects you drive with them.
- Monitor and improve the health of our data pipelines.
- Promote knowledge sharing within the team to foster collaboration and continuous learning.
- Stay updated on emerging technologies and best practices in data engineering and bring new ideas to enhance the technical set-up.
Your Profile
- Solid experience with Airflow, Python programming and SQL / dbt.
- Experience with cloud data warehouses such as Snowflake is a plus.
- Knowledge of AWS services and Docker is a plus.
- Bachelors in Mathematics, Computer Science or other relevant quantitative fields.
- Strong analytical and quantitative approach to problems.
- Familiarity with Data Engineering best practices, including Data Quality and Observability.
- Comfortable working in a dynamic and changing environment, with a strong sense of responsibility.
- Eagerness to learn and grow through on-the-job learning.
Join our mission, join our team – and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 40 different nationalities.
You’ll find us in our modern and open office in the trendy Kreuzberg district with a view of the Spree River, ideally connected to public transportation and surrounded by a variety of restaurants and shopping opportunities.
As part of our team, you will benefit from:
- Employee Development Budget of €2,000 and four full training days per year.
- Access to Babbel for continuous language learning.
- Snacks, daily fresh fruit as well as drinks provided at the office.
- Flexible working hours, home office and 28 vacation days.
- Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month.
- Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
- A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
- Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
We are Raisin, a dynamic and fast-growing fintech company that is a trailblazer for open banking in the savings and investments space.
#J-18808-Ljbffr
(Junior) Data Engineer, Berlin Arbeitgeber: TN Germany
Kontaktperson:
TN Germany HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Junior) Data Engineer, Berlin
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Snowflake, Looker, Airflow, and dbt. Consider working on personal projects or contributing to open-source projects that utilize these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with financial data. Attend meetups or webinars focused on data engineering and fintech to gain insights and potentially connect with someone from Raisin.
✨Tip Number 3
Stay updated on best practices in data engineering, particularly around Data Quality and Observability. Follow relevant blogs, podcasts, or online courses to deepen your understanding and be prepared to discuss these topics during interviews.
✨Tip Number 4
Demonstrate your eagerness to learn by engaging in continuous education. Highlight any recent courses or certifications related to data engineering, cloud services, or programming languages that align with the job requirements.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Junior) Data Engineer, Berlin
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the (Junior) Data Engineer position. Understand the key responsibilities and required skills, especially focusing on technologies like Snowflake, Looker, Airflow, and dbt.
Tailor Your CV: Customize your CV to highlight relevant experience with Airflow, Python, SQL, and any cloud data warehouse experience. Emphasize your analytical skills and any projects that demonstrate your ability to work with large data sets.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your eagerness to learn. Mention specific experiences that align with the responsibilities listed in the job description and how you can contribute to the team.
Showcase Continuous Learning: In your application, mention any recent courses or certifications related to data engineering or relevant technologies. This shows your commitment to staying updated and growing in your field, which is highly valued by Raisin.
Wie du dich auf ein Vorstellungsgespräch bei TN Germany vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Airflow, Python, SQL, and dbt in detail. Highlight specific projects where you've utilized these technologies to build or maintain data pipelines.
✨Understand the Business Context
Familiarize yourself with the regulatory and risk reporting landscape. Be ready to explain how your technical skills can help meet the company's needs in generating reports for regulatory purposes.
✨Demonstrate Collaboration Skills
Since the role involves working closely with stakeholders, prepare examples of how you've successfully collaborated on projects in the past. Emphasize your ability to translate technical requirements into actionable steps.
✨Stay Updated on Industry Trends
Research emerging technologies and best practices in data engineering. Be ready to discuss any new ideas you have that could enhance the technical setup at Raisin, showing your eagerness to learn and grow.
