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Lead Data Engineer & Architect - AWS, Python, Spark, ML, AI, API

Location Canary Wharf, United Kingdom
Posted 13-September-2021

Lead Data Engineer & Architect - AWS, Python, Spark, ML, AI, API

AWS, Python, Spark, NoSQL, API, Microservices Cloud Architecture, PaaS, Data Lake

Do you have excellent cloud, data engineering and architecture experience capable of designing and building a data lake in AWS from scratch?

Do you have hands on data engineering experience capable of coding in Python and Spark?

My client is a Canary Wharf based, social FinTech, which has grown x2 in the last year and has recently secured further funding to enable their growth strategy for 2022 and beyond.

I am seeking a Senior Data Engineer to join their newly formed technology team, as they embark on bringing all their technology capability in-house within the UK.

You will have a unique opportunity to build a career in a cutting-edge technology department whist constantly being challenged in a modern, fast paced environment.

Essential Skills:

Experience through the full data engineering life cycle, to create amazing data products, with a high focus on reusability stability, scalability, value & performance. Proven experience in leading high functioning and performing agile teams to drive data engineering through effective technology and innovation. Proven experience leading geographically dispersed teams would be an advantage. Significant experience of running data platforms in AWS. Experience in building and managing a data lake as well as data warehouse. Technical expertise in one or more data disciplines: Data Engineering, Data Science, Machine Learning, Data Governance and Data Analytics. Excellent internal customer service, communication, and coordination. Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring, and tooling. Experience with usage of API's and consuming data for analysis purposes. Integration experience with transformations. Experience with Salesforce, Mambu, Modulr Payments Platform, would be advantageous. Strong knowledge of GDPR and other regulatory requirements. Knowledge of AI and ML advantageous.

If you would like to join a social FinTech trying to change the way banking is enacted by offering a viable alternative to high-cost lenders, then apply now!

Excellent salary from 80,000 to 110,000 + Bonus + Medical insurance

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