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About the Role

Our Data, AI & MarTech Department is seeking an experienced Data Platform Engineer to enhance and develop our cloud-based data platform, which is central to Smartbroker’s technical data infrastructure for business analytics and insights. This role is crucial for fostering a data-driven culture throughout the organization.

Responsibilities

• Develop and improve the cloud-based data platform for data analytics and business insights using innovative data technologies.
• Build end-to-end data pipelines, from raw data ingestion to consumable data, including preparing and cleaning data and developing data models for analytics and AI.
• Implement data quality monitoring to ensure the accuracy and reliability of data pipelines.
• Architect, code, and deploy data infrastructure components.
• Collaborate with data engineers, analysts, and product technology colleagues.
• Stay updated on the latest market developments in data cloud architecture and share knowledge.

Requirements

• University degree in computer science, mathematics, natural sciences, or a similar field.
• Several years of experience in data engineering with expertise in building robust, scalable, and maintainable data platforms.
• Significant hands-on experience designing and operating data pipelines on cloud-based data platforms (AWS, GCP) using services like S3, Athena, and BigQuery.
• Experience in data warehousing and containerization (e.g., Kubernetes, Docker).
• Advanced knowledge of cloud networking and security (IAM, security groups).
• Proficient and experienced with Infrastructure as Code.
• Deep understanding of software engineering best practices, including requirements specification, version control, CI/CD, testing, deployment, and monitoring.
• Excellent English communication skills; German is a plus.
• Interest in the finance and fintech industry.
• A sense of humor.

Skills

• Data engineering
• Cloud-based data platforms (AWS, GCP)
• Data pipeline development
• Data modeling
• Data warehousing
• Containerization (Kubernetes, Docker)
• Cloud networking and security
• Infrastructure as Code
• Software engineering best practices
• SQL
• Python
• Airflow
• PySpark
• Data streaming technologies (Kafka, Kinesis, Flink)

Location

• Berlin-Kreuzberg

Work Type

• Full-time

Experience Level

• Experienced

Education Level

• University degree in computer science, mathematics, natural sciences, or a similar field

Benefits

• Individual development opportunities
• Agile processes
• Personal cohesion within the team
• Above-average employee retention
• Modern office in Berlin-Kreuzberg

About the Company

• Smartbroker Group operates Smartbroker+, an award-winning online broker combining traditional broker product ranges with neobroker conditions.
• The group also includes the digital fund broker SMARTBROKER Finance and four high-reach stock market portals.
• It is the largest independent financial portal operator in the German-speaking world with several hundred million monthly page impressions and the largest financial community.
• The company is a pioneer in digital investment, focused on making investing user-friendly and cost-effective for over 25 years.
• The company has grown to around 260 employees (as of December 31, 2023) and operates from a modern office in Berlin-Kreuzberg.
• It combines a personal working atmosphere with the advantages of a financially strong public limited company, featuring flat hierarchies, individual development, and agile processes.
• The company fosters a diverse team of top performers, encouraging learning and growth.

Equal Opportunity

• We are committed to diversity and equal opportunities.
• We strive to build a team that represents a variety of backgrounds, perspectives and skills.
• We encourage women, non-binary and transgender people as well as all members of the LGBTQI+ community, people from marginalised ethnic backgrounds and people with visible or non-visible disabilities to apply if they are looking for an inclusive, diverse and safe working environment.