Informacje o stanowisku

TransferGo  is a growing fintech scale-up on a mission to make the world a fairer place for migrants. We strive to provide tailored, more affordable financial services that make peoples hard-earned money go further. Now in our 12th year, with over 370 employees in offices across Europe, we’re crafting a brilliant, relevant product that makes a difference in peoples lives and the well-being of their families. 

We’ve come this far by building a talented, diverse workforce on a fair culture and our strong values. Having this strong team of employees, we can serve those who really need our product to make their lives better. 

The Data team plays a critical role in shaping our decisions based on data. To ensure we’re doing that in the best way possible, we’re now looking for a talented Mid/Senior Data Analytics  Engineer to join our team.

Here’s what you’ll be doing as a Data Analytics Engineer:

• Develop new and support existing ETL processes by using dbt and Redshift. 
• Build data validation rules and data quality monitors for data quality assurance.
• Optimize data workflows for performance, scalability, and reliability
• Ensure compliance with data governance and security standards

Here’s what we’d love from our new Data Analytics Engineer:

• Very good SQL knowledge
• Familiar with database and data modeling techniques
• Experience in performance tunning on Analytical databases (Redshift, BigQuery, Snowflake, etc.).
• Experience with dbt, Git

And if you can also do this stuff, even better: 

• You are a good communicator and are able to use English effectively at work
• You can champion engineering innovation and best practices
• You enjoy sharing your experience with other engineers and helping others to succeed

Here are some of our core tools helping us to get the job done:

• Data storage: AWS Redshift, S3, MySQL, ElasticSearch, 
• Data modeling and transformation: dbt, Glue, Python, Lambda
• CI/CD: Github

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