Hi! We're on the lookout for a vibrant Data Engineer to join Noda, a licensed UK Payment Institution and the brains behind an innovative Open Banking payments platform. If you're fueled by fintech excitement and seek a global career journey, keep reading!

What is Noda?

Noda is reshaping online payments, allowing seamless transactions from customers to merchants' bank accounts. Now we're looking for a talented Data Engineer to be part of our dynamic team.

Your mission:

• Design, implement, and maintain scalable data pipelines using Airflow, Airbyte, DBT, and Snowflake, with some use of Azure Data Factory.

• Implement Medallion architecture in Snowflake, managing bronze, silver, and gold layers.

• Ensure reliable ETL processes, data transformations, and data integration workflows.

• Help improve data modeling practices and address weaknesses in dimensional modeling.

• Work closely with data analysts, product analysts, and business stakeholders to understand requirements, gather data, and deliver solutions aligned with business goals.

• Conduct regular performance tuning and troubleshooting.

• Integrate Data from Various Sources: SQL, noSQL, APIs and other tools to pull and integrate data from different sources, building pipelines that deliver consistent, accurate information across platforms.

• Document data architecture, processes, and troubleshooting guides, providing clear resources for the team and ensuring continuity in data operations.

• Strong skills in SQL.

• Proficiency in Python for automation and data tasks.

• Familiarity with designing and managing data pipelines and ETL processes.

• DBT hands-on experience in creating models as per requirements, using macros, jinja scripting, hooks, automated tests, snapshots, and DBT packages.

• Understanding Snowflake concepts like data sharing, replication, dynamic data, using masking policies, secure views, row access policies concepts, tags, streams, tasks, external tables, time travel, clone, storage integration, stages, clustering of larger tables on clustering keys, and role-based access control.

• Familiarity with data warehouse design.

• Knowledge of data modeling techniques (star/snowflake schemas).

• Russian native/fluent

• English Upper-Intermediate+

What do we offer?

• Keep growing: your growth is our priority. We cover trainings, courses, and certifications so you can sharpen your skills and stay ahead in your field.

• Strong connections: distance doesn’t stop us from building great bonds. From virtual hangouts and creative online sessions to local meet-ups and company-wide events, you’ll always feel part of the team.

• All the gear you need: we provide the hardware you need and a budget for your home office setup, making sure you’ve got the perfect tools to succeed.

• Time to recharge: we value balance just as much as results. That’s why we offer plenty of time off to rest, reset, and come back energised.

• Wellbeing budget: your wellbeing matters just as much as your work. We provide a dedicated budget you can spend on what helps you feel your best — whether it’s fitness memberships, mental health support, massages, or other activities that keep you energised, focused, and balanced.

What happens once you apply:

• Your CV will undergo careful review, and we'll quickly update you on the next step in our recruitment journey.

• Get ready for an easy-going 30-minute screening call with our recruiter, where you'll delve into the heart of our company, product, and team dynamics, while sharing your own experiences and aspirations.

• Should the vibe match and your expectations align, up next will be an engaging interview with our Head of BI and Analytics.

• Then you will have a final conversation with our HR Director and CEO

• And if everything clicks, anticipate a thrilling job offer landing in your inbox soon!

We do our best to close interview rounds within 3 weeks, although sometimes it might take slightly longer. Send your application our way, we look forward to meeting you!