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Python Backend Engineer (Data & AI)

Python Backend Engineer (Data & AI)

1 Month ago • All levels

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Job Description

Tide is seeking a skilled Python Backend Engineer to develop and maintain data-driven applications for their growing finance platform. Ideal candidate possesses strong Python skills, experience with data processing, and a passion for building scalable solutions.

Must have:

Python Development
Data Processing
API Development
Backend Systems

Good to have:

Cloud Technologies
Machine Learning
Data Analysis
Agile Development

Perks:

Team Culture
Growth Opportunities

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ABOUT TIDE:

At Tide, we are building a finance platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.

Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 1,800 employees.

Tide is rapidly growing, expanding into new markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.

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About The Company

Tide

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Tide is the leading provider of UK small business (SMEs) accounts and one of the fastest-growing fintechs in the UK. Tide is live in the UK and India with over 650,000 members in the UK and more than 350,000 in India.

Tide is transforming the small business banking market. Our platform not only offers business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses, such as full integration with accounting systems (live for our UK members, many are live in India, and coming soon to Germany). Using advanced technology, all solutions are designed with SMEs in mind.

With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.

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