Hi! Were 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 youre 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 were 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.
What are your skills and experience:
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
Your office your rules: remote-first setup with full flexibility - work from home one of our offices a café or while exploring new places. Wherever you feel most productive thats your office.
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 doesnt stop us from building great bonds. From virtual hangouts and creative online sessions to local meet-ups and company-wide events youll 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 youve got the perfect tools to succeed.
Time to recharge: we value balance just as much as results. Thats 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 its 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 well 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 youll 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!
Hi! Were 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 youre fueled by fintech excitement and seek a global career journey keep reading!What is NodaNoda is reshaping online payments all...
Hi! Were 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 youre 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 were 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.
What are your skills and experience:
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
Your office your rules: remote-first setup with full flexibility - work from home one of our offices a café or while exploring new places. Wherever you feel most productive thats your office.
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 doesnt stop us from building great bonds. From virtual hangouts and creative online sessions to local meet-ups and company-wide events youll 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 youve got the perfect tools to succeed.
Time to recharge: we value balance just as much as results. Thats 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 its 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 well 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 youll 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!
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