Manager, Data - Allegro Pay

As a Manager, Data at Allegro Pay, your primary responsibilities include leading a team in developing and maintaining data products for our financial services. You'll design analytical layers for new services, coordinate data collection processes, set data quality metrics, and manage our BI platform and metadata catalog. Your role is pivotal in ensuring we operate at the highest standards in data governance.

To qualify for the Manager, Data role at Allegro Pay, you should have at least 2 years of experience with ETL/DWH processes and over 5 years in customer analytics. Additionally, team leadership skills, proficiency in Python/PySpark and SQL, and experience with Google Composer or Airflow practices in a CI/CD environment are essential.

In the Manager, Data position at Allegro Pay, you will encounter a range of cutting-edge technologies, including Composer, Airflow, Snowflake, BigQuery, Tableau, Azure DevOps, and GitHub Actions. Being familiar with these technologies will set you up for success in creating robust data products.

While experience with Data Mesh methodology is not mandatory, it's highly welcomed for the Manager, Data position at Allegro Pay. Understanding this architecture will enhance your ability to lead data processes effectively in our innovative environment.

At Allegro Pay, we provide a comprehensive range of benefits to our Manager, Data employees, including an annual bonus of up to 20%, a long-term discretionary incentive plan with Allegro shares, flexible non-wage benefits, English language classes, and a supportive hybrid work model to promote work-life balance.

When discussing your experience leading a data team, focus on specific examples of how you have guided your team members in achieving data goals. Highlight your strategies for fostering collaboration, addressing challenges, and driving successful outcomes. Providing metrics or results related to your leadership can also demonstrate your effectiveness.

To ensure data quality, explain your systematic approach to setting data quality metrics, conducting regular audits, and using tools for data validation. Share any methodologies you have implemented to improve data integrity and processes that engage your team in maintaining high standards.

In managing multiple data projects, discuss your prioritization strategy based on business impact and urgency. Describe your methods for keeping stakeholders informed while ensuring your team's workload is balanced and that deadlines are met without compromising quality.

When asked about technologies, provide a rundown of your expertise in relevant tools such as Python, Snowflake, and Tableau. Be ready to highlight how you've utilized these tools to enhance data processes and drive impactful analytics in previous roles.

If you have experience with Data Mesh architecture, discuss how you have applied its principles in previous roles. Share any specific implementations, the challenges you faced, and the successful outcomes you achieved by adopting this approach to data management.

Explain your approach to simplifying complex data insights by using visual aids and relatable examples suited for non-technical stakeholders. Discuss your ability to tailor your communications based on the audience to ensure clarity and mutual understanding.

In discussing data governance, describe your strategies for ensuring compliance, data security, and efficient data management. Provide examples of frameworks or policies you have established to improve data governance practices within your teams.

To foster teamwork, speak about the various initiatives you have implemented to encourage collaboration, such as team-building exercises, regular check-ins, and open lines of communication. Emphasize how you create an inclusive and supportive environment for team members.

Discuss your hands-on experience with ETL/DWH processes, citing specific tools you've worked with, and any complex projects you've led. Explain how you've optimized these processes to enhance performance and addressed any challenges that arose.

When asked why you want to work for Allegro Pay, express your enthusiasm for the innovative fintech environment and the opportunity to work with cutting-edge technologies. Highlight the alignment of your career goals with the company's mission to revolutionize financial solutions in Central Europe.