Raisin GmbH
Senior Data Engineer (m/f/d) – Engineering
Raisin GmbH, Leisure Village West-Pine Lake Park, New Jersey, United Stat...
Your growth is our growth. Our success is your success.About RaisinTeam
The Data Platform team is a key function within the company, responsible for the architecture, development and management of our core data infrastructure, including Snowflake, Looker, Airflow (MWAA) and dbt, as well as managing DevOps configurations for the platform. We focus on building and maintaining a self-serve data platform that empowers stakeholders by continuously adding new features and capabilities. The team upholds governance, security, and compliance standards while providing tools and templates that enable other teams to build and manage their own pipelines effectively.
Your Responsibilities
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 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
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.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.You are moving from another country or city to join us? We will support your relocation.
#J-18808-Ljbffr
The Data Platform team is a key function within the company, responsible for the architecture, development and management of our core data infrastructure, including Snowflake, Looker, Airflow (MWAA) and dbt, as well as managing DevOps configurations for the platform. We focus on building and maintaining a self-serve data platform that empowers stakeholders by continuously adding new features and capabilities. The team upholds governance, security, and compliance standards while providing tools and templates that enable other teams to build and manage their own pipelines effectively.
Your Responsibilities
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 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
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.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.You are moving from another country or city to join us? We will support your relocation.
#J-18808-Ljbffr