Data Engineer (Freelance)

12 Month Contract, Possible Extension. Onsite visits in Frankfurt, once per quarter (TBD / Not 100% Mandatory)

• As a Data Engineer in the FinTech space, you will design and maintain data pipelines that power analytics, machine learning, and real-time financial decision-making.
• You will work with modern data engineering technologies to process, transform, and optimize financial datasets at scale.
• Collaborating with AI engineers and data scientists, you will play a key role in building robust data infrastructure.

RESPONSIBILITIES

• Develop and maintain ETL/ELT pipelines using Apache Airflow.
• Optimize data storage and processing with Snowflake, Databricks.
• Work with Kafka or Pulsar for real-time data streaming.
• Implement data quality and governance best practices.
• Deploy scalable data solutions on AWS, GCP, or Azure.
• Collaborate with analytics teams to support business intelligence initiatives

REQUIREMENTS

• Strong SQL and Python skills for data processing.
• Experience with modern data lake and warehouse solutions (Snowflake, BigQuery, Redshift).
• Knowledge of real-time data processing (Kafka, Pulsar, Spark Streaming).
• Proficiency in cloud-based data engineering.
• Understanding of data modeling and schema design.

NICE TO HAVE

• Familiarity with FinTech regulations and compliance.
• Experience with DBT for data transformation workflows.
• Exposure to MLOps and AI-driven analytics.

BENEFITS

• Work on high-impact financial data projects.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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