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Senior Data Engineer

Liqid LigBerlin, GermanyPosted 1h agoonsite
via Arbeitnow

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.

  1. Initial Call with our Talent Partner: A casual introduction and discussion to align your expectations with the role.

  2. Video Interview with Head of Data: You will learn more about the performance expectations and specific role requirements from our leadership team.

  3. Technical Assessment with two Senior Team Members: A technical exchange to discuss your experience and expertise in relation to the role.

  4. In-Person Meeting: You will meet some team members onsite, tour our office and sit down with our CTO.


About us

We are LIQID, one of the fastest-growing fintechs in Europe. Our purpose is to provide creators, entrepreneurs, and thinkers shaping our future with access to the same opportunities as the world’s most successful investors while balancing the demands of people, planet, and profit.

We offer our clients financial peace of mind through exceptional, curated investment solutions – ranging from the world’s best private equity and venture funds to award-winning wealth management solutions. All delivered via an intuitive digital experience with outstanding personal support. With over €3.5 billion in assets, we are backed by leading investors from the digital, private equity, and wealth management space, including LGT, Toscafund, HQ Trust, and Project A.

 

LIQID is an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, age, religion, gender, ethnicity, national origin, disability, or any other characteristic protected by equal opportunity laws.

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Skills

  • Technology

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