Senior Data Engineer

Liqid Lig; Berlin; Hybrid; EUR 90.000 - 120.000; Vollzeit

Benefits dieser Stelle

Diversity & inclusion

Flexible work options

Annual development budget

MacBook equipment

Lunch allowance

Well-being program

Zusammenfassung

LIQID is seeking a Senior Data Engineer to design and scale data infrastructure powering decision‑making. You will own end‑to‑end data pipelines, ensure data quality, and drive secure, scalable analytics capabilities across the organization.

You will collaborate with the Head of Data, Analytics Engineers, and cross‑functional teams to implement robust architectures and leverage modern tools (Airflow, dbt, BigQuery, Snowflake) to support LIQID's growth.

Qualifikationen

• 5+ years of professional experience in data engineering, data architecture, or similar data role.
• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.
• Strong proficiency in SQL, Python and ETL/ELT frameworks with data modelling, warehousing, and database management.

Aufgaben

• Design, build, and optimize scalable data pipelines and storage solutions for secure, reliable data processing.
• Develop and manage ETL/ELT workflows to integrate data from multiple sources.
• Implement and enforce data quality, validation, and monitoring processes.
• Ensure data security and compliance with industry standards.
• Collaborate with analysts, product managers, and engineers to deliver data solutions.
• Evaluate and integrate new technologies to improve scalability and performance.

Kenntnisse

SQL

Python

ETL/ELT design

Data modelling

Data warehousing

Cloud platforms (AWS, GCP)

Airflow

dbt

BigQuery

Snowflake

PostgreSQL

Ausbildung

Bachelor's or Master's in Computer Science or related field

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.

What will keep you challenged?

• 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.
• Smart Money : As a LIQIDian, you'll enjoy attractive terms for our investment strategies, a monthly lunch allowance, and exclusive discounts with various providers.
• Well-being : Regional organic products keep you fit in the office, and our health initiatives or Health Assistance Program go far beyond that.

What happens next

• An excellent candidate, experience and transparency are our top priorities in the interview process. The different stages help us understand how a potential collaboration could look.
• Initial Call with our Talent Partner : A casual introduction and discussion to align your expectations with the role.
• Video Interview with Head of Data : You will learn more about the performance expectations and specific role requirements from our leadership team.
• Technical Assessment with two Senior Team Members : A technical exchange to discuss your experience and expertise in relation to the role.
• In-P