Data Engineer

London, England, United Kingdom

Applications have closed

Moss

Moss offers ✓ Unlimited corporate credit cards ✓ Easy expense management ✓ End-to-end accounts payable ✓ Faster month-end.

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Moss is the modern corporate credit card and spends management platform. We are a group of serial entrepreneurs and fintech experts driven by our mission to enable businesses to master their finances. After solidifying a total of €130 million in funding, we continue to pave the way for next-generation B2B spending, empowering our customers to make informed cash flow decisions. To this day we have 100’s of live customers, were awarded Fintech of the year in 2020, and have a team in place with experience building out foundations of numerous successful Fintech companies.   

As we are scaling, we are looking for a Data Engineer to join our Data team with innovative thinkers and contributors! Along with them, you will develop, enhance and maintain our web application platform and play a pivotal role in developing our product.

What you bring to the table

  • Experience in working independently with ETL
  • Experience with Python, SQL/PostgreSQL
  • Working experience with Linux environment
  • Extensive hands-on experience with data integration and data quality control
  • Ability to become a bridge between data and engineering 
  • Product mindset and interest in being a part of the product roadmap decision making
  • Experience in our tech stack: Google cloud, Salesforce platform, Google data stack, Machine learning ops 

What you will be working on

  • Enable data-driven decision making in the Go to Market team and have a real, tenable impact on its strategy
  • Managing data integration and data quality control processes
  • Creating data processing pipelines and ML models

What we offer

  • A competitive compensation package including early-stage equity
  • Join an experienced highly motivated and fast-moving team
  • The ability to shape the product success within the market of a quickly growing startup
  • Learning & Development budget
  • Internal training events on key technologies
  • The hardware you need to do the job in the best way possible
  • Contribute to and share the company's success

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Engineering ETL FinTech GCP Google Cloud Linux Machine Learning ML models Pipelines PostgreSQL Python SQL

Perks/benefits: Career development Competitive pay Equity Startup environment Team events

Region: Europe
Country: United Kingdom
Job stats:  9  4  0
Category: Engineering Jobs

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