May 22, 2023
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Germany, Germany
May 22, 2023
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About Us
We are VR Smart Guide - we enable entrepreneurs and self-employed professionals to follow their real passion by taking the administrative and bureaucratic workload from them. From writing invoices to tax reports, with our digital solution, built by a multidisciplinary, heterogeneous team with a lot of passion and drive, we make a difference on how small businesses operate.
Our headquarter is located close to Frankfurt, but we live a hybrid working culture with strong remote structures.
Summary
As a senior data engineer, you will ensure the quality and reliability of the data pipelines supporting to disrupt the credit scoring process for medium-small enterprises backed by one of the most trustworthy banking groups in Germany, the DZ BANK Gruppe.
You will work on the Data Platform team with data scientists as the main stakeholder; be supported by data platform engineers to design and implement scalable data pipelines that can handle large volumes of data from multiple sources. You will also be responsible for maintaining and optimising the performance of these pipelines, as well as implementing data quality checks and safeguards to ensure the accuracy and integrity of the data. In addition to your technical expertise, you will also play a key role in collaborating with stakeholders and partners to understand their data needs and help identify new opportunities for data-driven innovation. This high-impact, high-visibility role requires strong technical skills and the ability to work effectively in a fast-paced, constantly evolving environment.
Your role and contribution
We are VR Smart Guide - we enable entrepreneurs and self-employed professionals to follow their real passion by taking the administrative and bureaucratic workload from them. From writing invoices to tax reports, with our digital solution, built by a multidisciplinary, heterogeneous team with a lot of passion and drive, we make a difference on how small businesses operate.
Our headquarter is located close to Frankfurt, but we live a hybrid working culture with strong remote structures.
Summary
As a senior data engineer, you will ensure the quality and reliability of the data pipelines supporting to disrupt the credit scoring process for medium-small enterprises backed by one of the most trustworthy banking groups in Germany, the DZ BANK Gruppe.
You will work on the Data Platform team with data scientists as the main stakeholder; be supported by data platform engineers to design and implement scalable data pipelines that can handle large volumes of data from multiple sources. You will also be responsible for maintaining and optimising the performance of these pipelines, as well as implementing data quality checks and safeguards to ensure the accuracy and integrity of the data. In addition to your technical expertise, you will also play a key role in collaborating with stakeholders and partners to understand their data needs and help identify new opportunities for data-driven innovation. This high-impact, high-visibility role requires strong technical skills and the ability to work effectively in a fast-paced, constantly evolving environment.
Your role and contribution
- Design and implement scalable data pipelines to handle large volumes of data from multiple sources
- Maintain and optimise the performance of data pipelines
- Implement data quality checks and safeguards to ensure the accuracy and integrity of data
- Collaborate with stakeholders and partners to understand their data needs and identify new opportunities for data-driven innovation
- Provide key support to the data scientists to implementing the data strategy
- Support data analytics providing and maintaining data structures
- Demonstrate strong technical skills and the ability to drive results in a high-impact, high-visibility role
- Serve as a mentor and go-to person when data engineering insights are necessary
- Stay up-to-date on the latest developments and best-practices in data engineering to support the requirements of the data scientists
- Proactively seek out new technologies and techniques to improve the performance and reliability of your data pipelines and provide insights to support complex data models
- Own the data quality and the efficiency of the data pipelines
- Collaborate effectively with team members and stakeholders to ensure that your work aligns with business goals and objectives
- Enable the data platform team with a solution-driven approach
- Take into consideration the time-sensitive nature of credit processing to provide high-performance solutions
- A Bachelor's or Master's degree in a technical field such as Computer Science, Data Science, or Engineering or relevant proven experience
- At least 5 years of experience in data engineering and data management, including experience with big data technologies and complex data pipelines
- Proficiency in programming languages such as Python or Go for data pipeline automation
- Experience with data quality checks and safeguards to ensure the accuracy and integrity of data
- Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences
- Proven track record of delivering results in a fast-paced, constantly evolving environment
- Experience in the credit scoring or financial services industry is a plus, but not required
- Your development - your plan. With us, you not only have a steep learning curve, and regular role development meetings, but we also support you with an educational budget for your personal and professional development
- A hybrid office model. For us, both remote work and office hours are part of a good team atmosphere
- 30 vacation days, plus on Christmas and New Year’s Eve
