Senior Data Engineer

Meyandy LLC; Berlin; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Flexible work models

28 vacation days + year-end days

€1,500 development budget

MacBook + equipment at start

Remote work options

Zusammenfassung

LIQID in Berlin is seeking a Senior Data Engineer to own and scale the data infrastructure that drives decision-making. You will design scalable data pipelines, ensure data integrity, and lead secure processing across teams.

You will partner with the Head of Data and analytics engineers to implement robust architectures and future-proof systems as LIQID grows. You will build end-to-end data flows from sources to the data warehouse, manage ETL/ELT processes, and ensure data quality, governance,

Qualifikationen

• 5+ years of professional experience in data engineering, data architecture, or a related role.
• Degree in CS, Data Engineering or related field.
• Strong proficiency in SQL and Python with ETL/ELT frameworks.

Aufgaben

• Design, build, and optimize scalable data pipelines and storage solutions.
• Develop and manage ETL/ELT workflows for data ingestion, transformation, and availability.
• Implement data quality, validation, and monitoring for analytics and ops use cases.
• Ensure data security and compliance with industry standards.
• Collaborate with analysts, product managers, and engineers to meet data needs.
• Evaluate and integrate new technologies to improve scalability and performance.

Kenntnisse

SQL

Python

ETL/ELT

Data modeling

Warehousing

Data governance

AI coding tools

Streaming pipelines

Ausbildung

Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems

Tools

BigQuery

Snowflake

PostgreSQL

Airflow

dbt

Jobbeschreibung

Your Role

We are looking for a Senior Data Engineer (f/m/d) at LIQID, who will play a pivotal role in building and scaling data infrastructure that powers decision-making. You will design scalable, high-performance data pipelines, ensure data integrity, and drive efficient data processing across the organization. Working closely with our Head of Data, Analytics Engineers, and cross-functional teams, you will develop robust data architectures, enhance data security, and implement best practices that empower data-driven decision-making at scale. This is not a role where you preserve what already exists. It is a role where you build what comes next. As LIQID scales beyond €4 billion in assets under management, the demands on our data infrastructure are growing fast. You will have real ownership over how we meet that challenge, with the autonomy to propose solutions and the backing to ship them.

• Design, build, and optimize scalable data pipelines and storage solutions that ensure efficient, secure, and reliable data processing from source systems to our data warehouse
• Develop and manage ETL/ELT workflows to integrate data from multiple sources, ensuring 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 scalability, performance, and future‑proof LIQID’s data infrastructure

What you bring

• Over 5 years of professional experience in data engineering, data architecture, or a similar data related role
• 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 modelling, warehousing, and database management (e.g., BigQuery, Snowflake, PostgreSQL)
• Experience with cloud data platforms (e.g., AWS, Google Cloud) and modern data pipeline tools (e.g., Airflow, dbt)
• Solid understanding of data modelling principles to meet data governance, security, and compliance best practices and ensure safe and scalable data operations
• FinTech experience is a plus, but a strong interest in financial services and data-driven decision-making is essential
• Experience using AI coding tools (Copilot, Cursor, Claude) to speed up development and integrating them into standard workflows (code review, CI/CD), with the judgment to verify output, not just ship it.
• Experience with data quality testing frameworks or rules-as-code approaches (e.g. dbt tests, Great Expectations) to catch issues before they hit production.
• Experience with streaming/near-real-time pipelines (Kafka, Kinesis, or similar) is a plus.
• Fluent in English, both written and spoken; German is a plus

What we offer

• Diversity: Flat hierarchies and cultural openness make you an integral part of our diverse team of international talents from day one.
• Flexibility: We don’t complicate your life. You’ll find the right balance with flexible work models, working hours, and remote work options.
• 28 days of vacation and two additional days off on December 24 and 31 ensure you have ample time to unwind.
• Appreciation: You’ll help shape the future of digital wealth management with us in an innovative, multi-award-winning company on a growth trajectory, with high market relevance and plenty of space for your ideas.
• Development: We support your personal and professional growth with an annual development budget of €1,500. Additionally, at the start of your tenure at LIQID, you’ll receive high-quality equipment, including a MacBook, headphones, and a display…

Senior Data Engineer — Liqid Lig, Berlin.