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Raisin

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

Reposted 15 Days Ago
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In-Office
Berlin
Junior
Easy Apply
In-Office
Berlin
Junior
The role involves building and maintaining data pipelines using various technologies, collaborating with stakeholders, monitoring data health, and promoting team knowledge sharing.
The summary above was generated by AI

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.

Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.

Team

The Risk Controlling & Regulatory Reporting is a key function within the company that is responsible for generation of reports for regulatory and risk controlling purposes for Raisin. 

To this extent, we build and maintain data pipelines using Snowflake, Looker, Airflow (MWAA) and dbt that process financial data and transform it. We then make these accessible to our regulatory and risk teams, who rely on this data to perform internal audits and report KPIs to regulatory authorities.

Your Responsibilities

  • Work on scalable data pipelines to efficiently process and analyze large volumes of data, utilizing Snowflake, Looker, Airflow and dbt.
  • Collaborate with stakeholders to help translate their requirements into technical steps and coordinate the projects you drive with them.
  • Monitor and improve the health of our 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 technical set-up.

Your Profile

  • Solid experience with Airflow, Python programming and SQL / dbt.
  • Experience with cloud data warehouses such as Snowflake is a plus.
  • Knowledge of AWS services and Docker is a plus.
  • 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 75 different nationalities.

As part of our team, you will benefit from:

  • Employee Development Budget of €2,000 and four full training days per year.
  • Flexible working hours, home office and 30 vacation days.
  • A company pension scheme (Betriebliche Altersvorsorge), which we support with 20%.
  • Enjoy more than 50+ different sports with Urban Sports Club: We subsidize your membership with more than €20 per month. 
  • Do you miss being in the office? The Deutschland Ticket gets you there, which we subsidize with €25 per month.
  • Love cycling? With JobRad, lease the bike of your choice and enjoy tax savings, plus Raisin covers your monthly insurance costs.
  • Hungry all the time? Snacks, daily fresh fruit as well as drinks provided at the office.
  • You are moving from another country or city to join us? We may support your relocation.

Raisin Applicant Privacy Policy

We value diversity and the unique experiences each individual brings. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply.

We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Top Skills

Airflow
AWS
Dbt
Docker
Python
Snowflake
SQL

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