Job ID: 281839
Company: Riverty Tech OÜ
Location: Tallinn, Berlin
Everyone's story matters. Come shape your story with us at Riverty.
But where does that take you?
To one of our 30 hybrid workspaces – designed for exchanging ideas, learning from others, and shaping the way we work. An international community of over 4,000 people, representing almost 80 nationalities across 11 countries. United by one mission: Combining empathy, advanced technology and data-driven insights to keep people and businesses in flow. With payments made for them. So that they don't have to worry about it.
And there's more: We are part of the family-owned Bertelsmann group. Established. Corporate. In a fast-paced industry. We enable flexible payments in various industries, simplifying the financial management of known brands and helping people repay debt to build financial confidence. In short: shaping FinTech.
We are looking for Senior Data Engineer
to join our team at our location in Tallinn or Berlin
As a Data Engineer, you will play a key role in building the next evolution of our customer risk platform. The focus lies on integrating data from various internal systems into a centralized, real-time database, laying the foundation for consistent and reliable data processing and analysis across the organization.
What will be your challenge in this role?
You will join one of our platform product teams and you are expected to deal with:
* Target System Analysis. Identify and document data fields, formats, and structures needed in the central target systems, etc
* Internal Source System Analysis. Evaluate existing internal systems, determine relevant data, coordinate data exports, etc
* Design Data Integration Concepts. Develop mapping logics,, define transformation rules, data flows and technical interfaces, document data models, etc
* Technical Implementation. Build and test ETL/ELT processes, ensure data consistency, quality, and traceability, etc
* Drive and own data engineering topics. Standardize mechanisms for PII data handling, support operational data activities, etc in collaborative way with software engineers and other relevant stakeholders
What will help you to succeed in the role?
You will be a good fit for the role if you have:
* Degree in (Business) Informatics, Data Engineering, Mathematics, or a comparable field
* Proven experience in data integration, data modeling, and data flow design
* Strong skills in SQL and data integration tools (e.g., Azure Data Factory) or programming languages (e.g., Python)
* Solid understanding of relational databases, modern data architectures, cloud-based data analytics tools and platforms (e.g. Databricks)
* Experience working closely with business stakeholders, ideally with product owners
* Analytical thinking, structured work approach, and high level of initiative
Equal Opportunity Employer Statement
We want to be a fair and inclusive employer. We value the diverse perspectives that a diverse workforce brings to the table. Therefore, we are actively looking for people who enrich our company through their identity, background and personal experiences, with or without a disability.
Our plus points
Inclusive and valuing culture
At Riverty, you can be who you are. We strive to create an inclusive environment and an appreciative culture, enhanced by our employee networks.
Health & Wellbeing
Your physical and mental health is important to us. Take advantage of our various preventive care and support services.
Professional and Personal Development
Take advantage of our numerous training and development opportunities. Benefit, for example, from training courses offered by Bertelsmann University, language courses or leadership trainings
Monetary Benefits & Discounts
Know that you're appreciated with plenty of employee benefits & discounts just for you.
Flexibility
Our diverse working models empower you to customize your work to perfectly align with your preferences. Benefit from mobile office, flexible working hours and part-time models.