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

Talantir; Berlin; Hybrid; EUR 80,000 - 120,000; Full time

Benefits offered by this job

Inclusive environment

Training programs

Bertelsmann University training

Language courses

Leadership training

Product discounts

Mobile/remote-friendly

Flexible working hours

Part-time options

Job summary

Riverty in Berlin is seeking a (Senior) Data Engineer (m/f/d) to design, build, and maintain robust data pipelines using Azure Data Factory, Databricks, and Airflow in a hybrid setup.

You will shape ingestion, transformation, and serving of data across teams, drive CI/CD with Azure DevOps, and collaborate with product and analytics to enable scalable analytics and decision-making.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 5+ years of data engineering experience with cloud-native platforms.
• Hands-on with Azure Data Factory, Databricks, Azure Data Lake, SQL, Python.
• Familiar with DevOps workflows and CI/CD (e.g., Git, Azure DevOps).
• Strong data warehousing and data modeling knowledge.
• Excellent cross-functional communication and collaboration.

Responsibilities

• Design and implement scalable ETL/ELT pipelines in a lakehouse using Databricks, Azure Data Factory, and Azure Data Lake.
• Create analytical data models optimized for performance and usability.
• Drive CI/CD practices with Azure DevOps and Git workflows, testing and monitoring.
• Integrate workflows and orchestration with Airflow as needed.
• Troubleshoot, monitor, and improve data quality and pipeline reliability across distributed systems.
• Collaborate with product, analytics, and engineering teams across countries.

Skills

Azure Data Factory

Databricks

Airflow

Python

SQL

CI/CD

Git workflows

Data modeling

Data warehousing

Cloud data platforms

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Azure DevOps

Azure Data Lake

Open-source data tools

Job description

Everyone's story matters. Come shape your story with us at Riverty. But where does that take you?

To one of our 30 hybrid workspaces - designed for exchanging ideas, learning from others, and shaping the way we work. An international community of over 4,000 people, representing almost 80 nationalities across 11 countries. United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don't have to worry about it.

And there's more: We are part of the family-owned Bertelsmann group. Established. Corporate. In a fast-paced industry. We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence. In short: shaping FinTech.

We are looking for a (Senior) Data Engineer (m/f/d)(unlimited, full-time) Join our team at our location in Berlin - hybrid working conditions available.

Your Mission

As part of our Data Engineering team, you'll design, build, and maintain robust data pipelines using Azure Data Factory, Databricks, Airflow, and other cloud-native tools. You'll shape how we ingest, transform, and serve data across our organization - powering analytics, reporting, and decision-making at scale. This is a hands-on, impact-driven role for someone who enjoys working across big data, cloud platforms, and data infrastructure. You'll collaborate with product, analytics, and engineering teams across countries and functions.

What you are expected to do

• Design and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, Azure Data Lake, and other modern tools.
• Create analytical data models and structures optimized for performance and usability.
• Drive best practices in data engineering, including CI/CD with Azure DevOps, Git workflows, testing, and monitoring.
• Integrate workflows and orchestration using Airflow and other tools as needed.
• Troubleshoot, monitor, and improve data quality, pipeline reliability, and job performance across distributed systems.
• Work with stakeholders to understand data requirements and deliver scalable, maintainable solutions.
• Stay on top of trends in cloud data platforms, open-source frameworks, and engineering practices.

What you should bring

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with a focus on cloud-native platforms.
• Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python.
• Familiarity with DevOps workflows (e.g., Git, Azure DevOps) and orchestration tools like Airflow.
• Solid understanding of data warehousing, data modeling, and modern data architecture.
• Strong communication skills and the ability to work cross-functionally with business and technical stakeholders.
• A proactive mindset, capable of owning outcomes and navigating ambiguity.

Benefits

• At Riverty, you can be who you are. We are committed to creating an inclusive environment and a culture of appreciation, enriched by our employee networks.
• Prioritize your health with supported sports and leisure activities.
• Take advantage of our numerous training and development opportunities! Enhance your skills with training offered by the Bertelsmann University, language courses, or leadership training.
• Benefit from our discounts on Bertelsmann products and financial incentives.
• With our diverse work models, you can tailor your work to your preferences. Take advantage of mobile office, flexible working hours, and part-time models.