Data Engineer / Analytics Engineer (f/m/x) - Origination & Advisory Technology

The provided job description contains useful information but requires improvements in formatting and clarity to enhance readability and professionalism. Here is a refined version with better structure and HTML usage:

Job Description

Deutsche Bank Technology in Berlin

DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. We focus on promoting technical excellence, with engineers working at the forefront of financial services innovation using cutting-edge technologies.

Our Berlin location is our newest addition to our global network of tech centres. We are committed to building a diverse workforce and creating excellent opportunities for talented engineers and technologists. Our teams use agile methods to develop #GlobalHausbank solutions from our home market.

Origination & Advisory Technology

This team aims to build trusted relationships with major corporates, financial institutions, sponsors, and sovereigns worldwide. We develop a core analytical platform serving various businesses, supporting Deutsche Bank’s growth and competitiveness in the payments market. The team handles billions of records for reporting, data analysis, and data science, providing insights into client activity and profitability. We are creating an interactive analytical platform to track key business metrics and support decision-making across Europe, APAC, and the Americas.

Role: Data Engineer / Analytics Engineer (f/m/x)

You will bridge business needs with technical solutions, ensuring high-quality data for decision-making. Collaborating with stakeholders, you will analyze data flows, clarify requirements, and design ETL processes aligned with modern data architecture principles. We seek an engineer with strong analytical skills, data modeling knowledge, and the ability to translate business needs into effective data solutions.

Note: If you are interested but do not meet 100% of the criteria, we encourage you to send your CV anyway!

Your Key Responsibilities

• Work with stakeholders to gather, refine, and document data requirements and flows.
• Design, implement, and maintain ETL processes from various sources.
• Create documentation for data processes, ensuring alignment with business needs.
• Recommend best practices for data modeling, schema design, and governance.
• Support deployment and provide third-level support for data issues.

Your Skills and Experience

• Strong analytical and problem-solving skills, with experience in working with business stakeholders.
• Proficiency in SQL, data modeling principles, and schema design (Kimball, Inmon, Star/Snowflake).
• Hands-on experience with ETL development and data ingestion technologies (Relational DBMS, APIs, streaming).
• Ability to code in JVM languages (Java/Scala) and/or Python.
• Familiarity with modern data platforms such as Apache Airflow, Apache Spark, and columnar databases like ClickHouse.

What We Offer

We provide a comprehensive benefits package to support your personal and professional life, including:

• Mental and emotional well-being: Mental health support and training.
• Physical health: Health check-ups, vaccinations, and nutrition advice.
• Social connections: Networking, flexible work options, and diversity initiatives.
• Financial security: Pension plans, banking services, and benefits like company bicycles and tickets.

For recruitment questions, contact Anna Martinez at +49 170 7661024.

We strive to create an inclusive environment where everyone can excel. We welcome applications from all backgrounds and promote fairness, diversity, and inclusion.