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- Aufgaben: Build and optimize data pipelines using Snowflake, Looker, Airflow, and dbt.
- Arbeitgeber: Join Raisin, a diverse team of over 40 nationalities in a modern office in Kreuzberg.
- Mitarbeitervorteile: Enjoy flexible hours, €2,000 development budget, snacks, and 28 vacation days.
- Warum dieser Job: Grow your skills in a collaborative environment while working on impactful data projects.
- Gewünschte Qualifikationen: Experience with Airflow, Python, SQL/dbt; Bachelor's in relevant fields required.
- Andere Informationen: Access to language learning and sports memberships, plus bike leasing options.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
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.
Our Benefits
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.
- Hungry all the time? 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.
#J-18808-Ljbffr
(Junior) Data Engineer, Hamburg Arbeitgeber: TN Germany
Kontaktperson:
TN Germany HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: (Junior) Data Engineer, Hamburg
✨Tip Number 1
Familiarize yourself with the tools mentioned in the job description, especially Airflow, Python, and SQL/dbt. Consider working on personal projects or contributing to open-source projects that utilize these technologies to showcase your skills.
✨Tip Number 2
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide you with insights into the company culture and the specific challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 3
Stay updated on the latest trends in data engineering and cloud technologies. Follow relevant blogs, attend webinars, or join online communities to gather knowledge that you can discuss during your interview, demonstrating your eagerness to learn and grow.
✨Tip Number 4
Prepare to discuss how you would approach collaboration with stakeholders. Think of examples from your past experiences where you successfully translated technical requirements into actionable steps, as this is a key responsibility for the role.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: (Junior) Data Engineer, Hamburg
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the (Junior) Data Engineer position. Highlight the key responsibilities and required skills, such as experience with Airflow, Python, SQL, and familiarity with Snowflake.
Tailor Your CV: Customize your CV to reflect your relevant experience and skills that align with the job requirements. Emphasize your analytical abilities and any projects where you've worked with data pipelines or cloud data warehouses.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific experiences that demonstrate your ability to collaborate with stakeholders and your eagerness to learn and grow in the field of data engineering.
Highlight Continuous Learning: In your application, emphasize your commitment to continuous learning and staying updated on emerging technologies. Mention any relevant courses or certifications you have completed, especially those related to data engineering best practices.
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 solve problems or improve processes.
✨Demonstrate Collaboration
Since the role involves working closely with stakeholders, share 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 the latest trends and best practices in data engineering, especially regarding Snowflake and AWS services. Being knowledgeable about emerging technologies will show your eagerness to learn and grow.
✨Emphasize Problem-Solving Skills
Prepare to discuss your analytical approach to problem-solving. Provide examples of challenges you've faced in data engineering and how you addressed them, focusing on data quality and observability.
