Senior Data Platform Engineer - Fintech - Remote

As a Senior Data Platform Engineer at Ebury, your daily responsibilities will include developing and optimizing data pipelines, ensuring clean and accessible data for various teams, participating in data modeling reviews, and establishing performance monitoring to enhance data processing efficiency. You'll collaborate with data scientists and analysts to turn data needs into actionable platform capabilities, all while maintaining documentation and reinforcing best practices within the team.

To apply for the Senior Data Platform Engineer position at Ebury, you should have over three years of experience in a similar role, proficiency in SQL and Python, and familiarity with modern data stack tools. Understanding dimensional modeling and data governance practices is also beneficial. We encourage candidates with diverse skill sets to apply, even if you don't meet every requirement listed.

Success as a Senior Data Platform Engineer at Ebury hinges on strong technical skills in SQL and Python, coupled with experience in building and optimizing data platforms. An eye for detail, commitment to data quality, and the ability to collaborate with various teams are essential. Familiarity with tools like Apache Airflow and dbt would also set you up for success in this role.

Ebury utilizes a cutting-edge technology stack for its Data Platform Engineering, including Google Cloud Platform as our cloud provider, Apache Airflow for orchestration, Docker for application delivery, and dbt for data transformation. We also leverage Looker and various third-party tools to enhance our data visibility and analytics capabilities.

Joining Ebury as a Senior Data Platform Engineer offers a unique opportunity to work in a fast-paced, high-growth environment that values ideas and creativity. You’ll be part of a diverse team committed to inclusion, with access to a range of professional growth opportunities and competitive benefits. At Ebury, your contributions will help revolutionize the FinTech sector while you enjoy a supportive and collaborative workplace culture.

In preparing your answer, focus on specific projects where you built or optimized ETL pipelines. Highlight your technical skills, the tools you used (like Apache Airflow or dbt), and the outcomes of your work, such as improved efficiency or data accessibility.

Discuss your approach to establishing data governance practices, including standards for data quality and validation procedures. Share any methods you’ve implemented to monitor data accuracy and how you've addressed data discrepancies in previous roles.

While answering this question, provide a clear example of a challenge you faced. Describe the context, the steps you took to analyze and address the issue, and the results of your actions, showcasing your problem-solving skills as a Senior Data Engineer.

Explain your familiarity with cloud platforms like Google Cloud Platform, detailing specific projects where you've used cloud services for data storage and processing. Emphasize benefits you've experienced from cloud solutions, such as scalability and accessibility.

Discuss your communication strategies and how you ensure alignment on data requirements and expectations. Mention any collaborative tools you’ve used, and highlight the importance of understanding their needs to deliver relevant data solutions.

Identify tools you've used, such as monitoring dashboards or data observability platforms. Explain how these tools helped you identify bottlenecks and improved data processing efficiency, providing specific examples from your experience.

Outline your strategy for maintaining detailed documentation, including architecture diagrams and data flow charts. Stress the importance of documentation for team collaboration and future maintenance, citing methods you've utilized in the past.

Share your perspective on the value of open-source contributions, emphasizing collaboration and knowledge sharing. If you have personal examples of contributions or projects you respect, mention them to illustrate your commitment to the open-source community.

Discuss the steps you've taken to enhance your skills, such as attending workshops, obtaining certifications, or engaging in online courses. Mention specific topics you have focused on and how they relate to the Senior Data Engineer role.

Explain your methodology for planning and executing data migrations, including how you ensure data integrity and minimize downtime. Refer to specific tools or techniques you’ve used in past migration projects.