Data Engineer (m/f/d)

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

Zusammenfassung

An innovative firm is seeking a Data Engineer to orchestrate scalable data pipelines and enhance data processing efficiency. In this role, you will leverage your expertise in Python, Airflow, and SQL to collaborate with stakeholders, ensuring their requirements are met through technical solutions. You will also maintain CI/CD pipelines and promote knowledge sharing within a diverse team. This position offers a dynamic work environment with opportunities for professional growth and a commitment to fostering a supportive culture. Join us to make a significant impact on our data engineering efforts while enjoying a range of valuable perks.

Leistungen

Employee Development Budget

Access to Babbel

Snacks and fresh fruit

Flexible working hours

28 vacation days

Subsidized sports options

Bike leasing with tax savings

Company pension scheme

Subsidized commuting ticket

Qualifikationen

• Solid experience with Python, Airflow, and SQL/dbt.
• Familiarity with Data Engineering best practices.

Aufgaben

• Orchestrate scalable data pipelines to process and analyze large volumes of data.
• Collaborate with stakeholders to translate their requirements into technical steps.

Kenntnisse

Python

Airflow

SQL

dbt

AWS

Docker

Analytical Skills

Ausbildung

Bachelor in Mathematics

Bachelor in Computer Science

Tools

Snowflake

CI/CD with Harness

Jobbeschreibung

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Your Responsibilities

1. Work on and orchestrate scalable data pipelines to efficiently process and analyse large volumes of data, utilising Python, Snowflake, Airflow and dbt.
2. Collaborate with stakeholders to help translate their requirements into technical steps and coordinate the projects you drive with them.
3. Monitor and improve the health of our 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 technical set-up.
6. Maintain our CI/CD pipeline on Harness.

Your Profile

1. Solid experience with Airflow, Python programming and SQL / dbt.
2. Experience with cloud data warehouses such as Snowflake is a plus.
3. Knowledge of AWS services and Docker is a plus.
4. Bachelors 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.

Our office is located 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+ sports options with Urban Sports Club, subsidized by us.
• Leasing a bike through JobRad with tax savings; Raisin covers insurance costs.
• A company pension scheme supported at 20%.
• Subsidized Deutschland Ticket for commuting.