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

Join to apply for the (Senior) Data Engineer—Data Platform (m/f/d) role at Unzer

1 day ago Be among the first 25 applicants

Join to apply for the (Senior) Data Engineer—Data Platform (m/f/d) role at Unzer

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.

We are driven by the belief that customers should enjoy a seamless shopping experience, no matter where they shop. Our team of over 750 experts from 70 nationalities is dedicated to creating a state-of-the-art unified commerce platform. Our goal is to enable businesses to delight their customers with seamless payment experiences.

Our offices are located across Austria, Denmark, Germany, and Luxembourg, with a headquarters in Berlin.

About The Project
We’re looking for an experienced freelance Data Engineer to support Unzer’s Data Team in scaling and maintaining our self-serve data platform. This role involves building and optimizing data pipelines, enhancing infrastructure, and enabling data-driven product features. Residency within the EU is required.

Responsibilities include:

1. Operate, monitor, and extend data platform infrastructure, pipelines, and services.
2. Implement and maintain Airflow workflows for orchestration.
3. Use DBT for data transformation, materialization, and data quality checks.
4. Develop and optimize schemas on PostgreSQL/MySQL.
5. Collaborate with analytics stakeholders to improve the semantic layer from an engineering perspective.
6. Work with Redshift to design scalable data models and ingestion pipelines, optimizing performance for large analytics workloads.
7. Utilize Kafka and other streaming technologies for real-time data processing and integration.

Tech Stack:

• AWS (Redshift, Athena, S3, EMR, DMS)
• Airflow, DBT, Terraform
• PostgreSQL, MySQL
• AWS DMS, AWS Glue

Requirements for success:

• Strong SQL skills and experience with AWS data stack.
• Proven experience with ETL/ELT pipelines using Airflow and DBT.
• Hands-on experience with Terraform and infrastructure-as-code in cloud environments.
• Ability to manage the entire delivery process from requirements to production monitoring.
• Self-driven, communicative, and able to work independently with asynchronous teams.

Next Steps:

• If interested, apply with your CV in English. Don’t worry if you don’t meet all requirements; we look forward to hearing from you.
• We will respond within 14 days of receiving your application.

Seniority Level

• Mid-Senior level

Employment Type

• Contract

Job Function

• Information Technology and Engineering