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Unzer

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

Unzer • DE
Hybrid
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ABOUT US

Unzer is a leading European fintech company with a mission to simplify international payments for e-commerce and retail businesses. Our brand was formed from 13 companies that now contribute to building a unique product covering the entire payment flow. 

At Unzer, we are driven by the belief that customers should enjoy a seamless shopping experience, no matter where they choose to shop. We are a team of over 750 experts of 55 different nationalities, dedicated to creating a state-of-the-art unified commerce platform. Our goal is to enable businesses to delight their customers with a seamless payment experience. 

Whether you're a tech enthusiast, payment expert, or a dedicated support professional, we are looking for individuals who are passionate about making a difference. 

Our offices: We are based across Austria, Denmark, Germany, and Luxembourg with a HQ in
Berlin. 

Our values: 
Raise the bar – we begin each day by striving to do better. 
Deliver results – we want to focus on quality delivery - here and now. 
Together, not alone – we support and treat each other with respect, acting always as one team. 
Act with integrity – we are true to our word. 
Put merchants first –we solve merchants’ problems and priorities our customer’s interests. 
Embrace accountability – we don't sacrifice long-term value over short-term results.

ABOUT THE TEAM

The Data Team is responsible for building up a self-serve data platform as well as enabling multiple product features within Unzer. The data processing patterns vary from real-time to batch, with a strong focus on availability and robustness. There is a high degree of freedom in choosing the best approach and tooling for the use cases that keep coming up with the business growth. The vision of the team is to make easily accessible and understandable the data within the company as well as enable the processes to be data-driven.

What your work will look like:

  • Operate, monitor, design, and extend the data platform infrastructure, pipelines, and services.
  • Implement and maintain Airflow workflows to orchestrate the data pipeline 
  • Use DBT to transform and aggregate data, create materialized views, and manage data quality.
  • Leverage Redshift data warehouses to design and implement data models, manage data ingestion and processing, and ensure data integrity and consistency, including the ability to identify performance bottlenecks and provide concrete solutions..
  • Develop and maintain PostgreSQL and Redshift databases, including data modelling, schema design, and performance optimization.
  • Collaborate with the analytics team to design and develop the semantic layer from an engineering perspective, focusing on modelling and performance optimization.

    • What you need to be successful in this role:

  • Excellent knowledge of SQL and Python.
  • Experience working with AWS data and analytics services: Redshift, Athena, S3, Glue, DMS.
  • Hands-on experience with ELT/ETL flows using DBT and orchestration tools like Airflow.
  • Experience with Kafka, including publishing and consuming data.
  • Solid understanding of classical data warehousing concepts, particularly with AWS Redshift.
  • Hands-on expertise with Terraform, showcasing the ability to architect, deploy, and optimize infrastructure as code for streamlined, scalable, and cost-effective cloud solutions.
  • Proven ability to own projects from gathering requirements all the way through to performance monitoring in production.
  • You have a can-do mentality, an eagerness to learn, and a drive to question and improve things continuously.

    • Please note that we will not sponsor your visa or relocation, and you must have a valid work permit to be eligible for this position.

    What’s next?

  • Does it sound exciting? -  Apply with your CV in English. Please don’t shy away if you don’t meet all the requirements! We’re looking forward to meeting you.  
  • The interview process includes a call with a 30 min call with Talent Acquisition Manager, 90min Technical interview with a team and a 45-minute call with Mattia (Director of Engineering).
    • Apply Now