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

TN Germany; Berlin; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A forward-thinking company is seeking a skilled Data Engineer to design and develop a scalable data platform. This role involves collaborating with cross-functional teams to provide tailored data solutions and optimize data pipelines. The ideal candidate will have solid experience in Airflow, Python, and SQL, along with knowledge of cloud data warehouses like Snowflake. Join a diverse team that values continuous learning and fosters an open environment. Enjoy benefits such as flexible working hours, a generous employee development budget, and relocation support. This is an exciting opportunity to grow with a dynamic organization in the heart of Berlin.

Leistungen

Employee Development Budget of €2,000

Access to Babbel for language learning

Snacks and fresh fruit at the office

Flexible working hours

28 vacation days

Over 50 sports options with Urban Sports Club

Company pension scheme supported at 20%

Subsidized Deutschland Ticket for commuting

Relocation support

Qualifikationen

• Solid experience with Airflow, Python programming, and SQL.
• Familiarity with data engineering best practices and data quality.

Aufgaben

• Design and develop a scalable data platform for data processing.
• Enhance the self-serve data platform with new features.

Kenntnisse

Airflow

Python programming

SQL

Snowflake

AWS services

Kubernetes

Ausbildung

Bachelor's degree in Mathematics

Bachelor's degree in Computer Science

Tools

Snowflake

Looker

Airflow

dbt

Jobbeschreibung

Job Description

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.
• Bachelor's degree 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 a top priority to foster an open and caring environment where everyone feels welcome and comfortable. Our culture is driven by our ambitious team, which connects more than 40 different nationalities.

Our modern and open office is located in the trendy Kreuzberg district, offering a view of the Spree River, with excellent public transportation links and surrounded by various restaurants and shopping options.

Benefits

• Employee Development Budget of €2,000 and four full training days per year.
• Access to Babbel for continuous language learning.
• Snacks, fresh fruit, and drinks at the office.
• Flexible working hours, home office options, and 28 vacation days.
• Over 50 sports options with Urban Sports Club, subsidized by us.
• Company pension scheme supported at 20%.
• Subsidized Deutschland Ticket 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.

Applications should be submitted via the 'Apply now' button. Do not provide bank or payment details during the application process.