(Senior) Data Engineer (m/f/d)

TN Germany; Hamburg; Vor Ort; EUR 50.000 - 85.000; Vollzeit

Zusammenfassung

Join a forward-thinking company dedicated to fostering an open and collaborative environment. As a key member of the data engineering team, you will design and develop a scalable data platform, leveraging cutting-edge technologies like Snowflake and Airflow. This role offers you the chance to work with diverse teams, implement innovative solutions, and continuously learn and grow in your career. Enjoy flexible working hours, generous vacation days, and a vibrant office culture. If you're eager to make a significant impact while working in a dynamic setting, this opportunity is perfect for you.

Leistungen

Employee Development Budget of €2,000

Access to Babbel for language learning

Snacks and daily fresh fruit

Flexible working hours

28 vacation days

Subsidized Urban Sports Club membership

Company pension scheme

Subsidized Deutschland Ticket

Relocation support

Qualifikationen

• Solid experience in data engineering with a focus on Airflow and Python.
• Knowledge of cloud data warehouses and best practices in data quality.

Aufgaben

• Design and develop a scalable data platform for processing large data volumes.
• Enhance the self-serve data platform for improved stakeholder access.

Kenntnisse

Airflow

Python programming

SQL

Snowflake

AWS services

Kubernetes

Ausbildung

Bachelor's degree in Mathematics

Bachelor's degree in Computer Science

Jobbeschreibung

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Your Responsibilities

1. Design and develop a scalable data platform to efficiently process and analyze large volumes of data, utilizing Snowflake, Looker, Airflow and dbt.
2. Enhance the self-serve data platform by implementing new features to improve stakeholder access and usability.
3. Work with cross-functional teams to provide tailored data solutions and optimize data pipelines.
4. Promote knowledge sharing within the team to foster collaboration and continuous learning.
5. Stay updated on emerging technologies and best practices in data engineering and bring new ideas to enhance the platform.

Your Profile

1. Solid experience with Airflow, Python programming and SQL.
2. Experience with cloud data warehouses such as Snowflake.
3. Knowledge of AWS services and Kubernetes.
4. Bachelor's degree in Mathematics, Computer Science, or other relevant quantitative fields.
5. Strong analytical and quantitative approach to problems.
6. Familiarity with Data Engineering best practices, including Data Quality and Observability.
7. Comfortable working in a dynamic and changing environment, with a strong sense of responsibility.
8. 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, and drinks provided at the office.
• Flexible working hours, home office, and 28 vacation days.
• More than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month.
• A company pension scheme (Betriebliche Altersvorsorge), supported with 20%.
• The Deutschland Ticket subsidized with €25 per month.
• Relocation support for moving from another country or city.