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Senior Data Engineer

CompraTica Empleos

EMP:Technology
Berlin
Tiempo Completo
Remoto
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Descripción

Your RoleWe 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 warehouseDevelop and manage ETL/ELT workflows to integrate data from multiple sources, ensuring seamless ingestion, transformation, and availabilityImplement and enforce data quality, validation, and monitoring processes to guarantee accuracy and integrity for analytics and operational use casesEnsure data security and compliance by applying best practices and industry standards for handling sensitive informationCollaborate with analysts, product managers, and engineers to understand data needs and deliver solutions that unlock new insightsContinuously evaluate and integrate new technologies to improve scalability, performance, and future-proof LIQID’s data infrastructureWhat you bringOver 5 years of professional experience in data engineering, data architecture, or a similar data related roleBachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a.

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