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

Raisin; München; Vor Ort; EUR 55.000 - 85.000; Vollzeit

Zusammenfassung

A growing fintech company is looking for a Data Engineer to design and develop a scalable data platform. The role involves enhancing self-serve data access and optimizing data pipelines while embracing a culture of collaboration and continuous learning. Join a diverse team and benefit from excellent professional development opportunities.

Leistungen

Employee Development Budget of €2,000

Access to Babbel for language learning

Flexible working hours and home office

28 vacation days

Public transportation subsidy

Company pension scheme

Relocation support

Snacks and fruits provided at the office

Sports membership subsidy

Qualifikationen

• Solid experience with Airflow, Python programming and SQL.
• Experience with cloud data warehouses such as Snowflake.
• Familiarity with Data Engineering best practices, including Data Quality and Observability.

Aufgaben

• Design and develop a scalable data platform to process and analyze large volumes of data.
• Enhance the self-serve data platform by implementing new features.
• Work with cross-functional teams to provide tailored data solutions.

Kenntnisse

Airflow

Python

SQL

AWS

Kubernetes

Ausbildung

Bachelors in Mathematics

Bachelors in Computer Science

Jobbeschreibung

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Design and develop a scalable data platform to efficiently process and analyze large volumes of data, utilizing Snowflake, Looker, Airflow and dbt.

Enhance the self-serve data platform by implementing new features to improve stakeholder access and usability.

Work with cross-functional teams to provide tailored data solutions and optimize 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 platform.

Your Profile

• Solid experience with Airflow, Python programming and SQL.
• Experience with cloud data warehouses such as Snowflake.
• Knowledge of AWS services and Kubernetes.
• 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.

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

• Solid experience with Airflow, Python programming and SQL.
• Experience with cloud data warehouses such as Snowflake.
• Knowledge of AWS services and Kubernetes.
• 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.
• 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 by us with 20%.
• The Deutschland Ticket subsidy of €25 per month for commuting.
• Relocation support if moving from another country or city.

Please note: If you are NOT a passport holder of the country for the vacancy, you might need a work permit. Check our Blog for more information.

Bank or payment details should not be provided when applying. All applications should be made via the 'Apply now' button.