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LIQID

Digital wealth management for affluent investors

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBerlin, GermanyNo salary listed

About the Job

Requirements

  • Over 5 years of professional experience in data engineering, data architecture, or a similar data-related role.
  • A Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Strong proficiency in SQL, Python, and ETL/ELT frameworks, with experience in data modeling, data warehousing, and database management, including BigQuery, Snowflake, or PostgreSQL.
  • Experience with cloud data platforms such as AWS or Google Cloud and modern data pipeline tools such as Airflow or dbt.
  • A solid understanding of data modeling principles for data governance, security, and compliance best practices and safe, scalable data operations.
  • Fluency in English, both written and spoken.

Responsibilities

  • Design, build, and optimize scalable data pipelines and storage solutions to ensure efficient, secure, and reliable data processing from source systems to the data warehouse.
  • Develop and manage ETL/ELT workflows to integrate data from multiple sources and ensure seamless ingestion, transformation, and availability.
  • Implement and enforce data quality, validation, and monitoring processes to guarantee accuracy and integrity for analytics and operational use cases.
  • Ensure data security and compliance by applying best practices and industry standards for handling sensitive information.
  • Collaborate with analysts, product managers, and engineers to understand data needs and deliver solutions that unlock new insights.
  • Continuously evaluate and integrate new technologies to improve the scalability, performance, and future-readiness of LIQID's data infrastructure.

Desired Qualifications

  • FinTech experience or a strong interest in financial services and data-driven decision-making.
  • Experience using AI coding tools such as Copilot, Cursor, or Claude and integrating them into standard workflows, including code review and continuous integration/continuous delivery, with judgment to verify outputs.
  • Experience with data quality testing frameworks or rules-as-code approaches, such as dbt tests or Great Expectations.
  • Experience with streaming or near-real-time pipelines using Kafka, Kinesis, or similar technologies.
  • German language proficiency.

About the Company

LIQID

Digital wealth management for affluent investors

LIQID provides digital wealth management services for affluent private investors in Berlin, offering a range of investment options including cash management, wealth management, venture capital, private equity, and real estate. Its tech-driven platform designs personalized investment strategies for clients who fall between traditional private banks and mass-market robo-advisors, charging management fees and performance-based fees on assets managed. LIQID differentiates itself by serving high-net-worth clients with sophisticated needs through a broad mix of asset classes combined with tech-enabled advice that sits between low-cost robo-advisors and traditional private banks. Its goal is to democratize access to high-quality investment opportunities for Europe’s wealthy private investors.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$137.9M
Headquarters
Berlin, Germany
Founded
2013

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