Offer summary

Qualifications:

4+ years of experience in data warehousing, data transformation, or systems analysis., Strong expertise in data pipelines and streaming technologies like Apache Iceberg and Apache Spark., Proven experience in setting up data infrastructure for high-performance systems., Strong stakeholder management skills and ability to drive discussions on business process optimization..

Key responsibilities:

Build and lead a high-performing data infrastructure team.

Develop and implement a scalable Data Core platform to replace multiple database replicas.

Ensure seamless integration of external tools with the DataLake.

Collaborate with business teams to translate data analysis requirements into scalable solutions.

Job description

Summary

We are building a specialized data infrastructure team to support our growing business needs.

As a Data Warehouse Lead, you will design and implement a scalable Data Core platform, replacing multiple database replicas and ensuring seamless integration of Genesys, Salesforce Marketing Cloud, SAP HANA, and our internal CRM with the DataLake. Reporting directly to the CTO, you will define the technology roadmap, hire and lead a distributed team, and work closely with Group Marketing, Group Risk, and Group Service to optimize external tools for internal use.

Salary: €75k-€85k/year

Location: Remote (Portugal, Austria, Czechia, Hungary, Latvia, Poland, Spain)

Key Responsibilities

Build & Lead the Team: Hire top talent, define best practices, and establish a high-performing team.
Develop Data Core Infrastructure: Implement a scalable and reliable platform to replace multiple database replicas.
Integrate & Connect Systems: Ensure seamless data flow between external tools (Genesys, Salesforce Marketing Cloud, SAP HANA) and our DataLake.
Stakeholder Collaboration: Work closely with business teams to translate data analysis requirements into scalable solutions.
Technology Leadership: Define the long-term data architecture and lead strategic initiatives.

Key Skills & Qualifications

4+ years of experience in data warehousing, data transformation, or systems analysis.
Strong expertise in data pipelines and streaming technologies (Apache Iceberg, Apache Spark).
Proven experience setting up data infrastructure for high-performance systems.
Ability to read and map API documentation to business processes.
DataLake architecture knowledge and experience adapting to existing data structures.
Strong stakeholder management and ability to drive discussions on business process optimization.
Self-driven and hands-on mentality with excellent problem-solving skills.

Preferred Skills

Experience with Nessie (metadata storage for Apache Iceberg) and MinIO (data storage).
Proficiency in Python and Infrastructure as Code.
Familiarity with Salesforce Marketing Cloud & Genesys APIs.

What We Offer

100% remote or hybrid work options.
Flexible working hours, covering core team hours.
34-hour workweek with a full-time salary.
Strong growth and learning opportunities (badge system).
Access to license courses, workshops, and professional training (iSAQB or similar).

Join a fast-growing Fintech company and shape the future of digital lending with cutting-edge technology! 🚀

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