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Senior Data Engineer

385/1361/107487

$100,000 - $120,000 Per Annum

REMOTE anywhere within 2 hours of GMT

Business analytics / business modelling,FinTech,IT/Technical,Software Development,Data scientist,Engineer,Software Engineer

Permanent | Full Time

ASAP

31/05/2024

Not specified

Senior Data Engineer 

Fully remote

Data Engineer, GCP, Python, SDKs, SQL, engineering

Our client is a global fintech with a cutting edge USP. Offering fully remote work, this is a fantastic opportunity to take your career to the next level  in a collaborative and dynamic environment who provide ground-breaking financial products to their global client base

Due to growth, we are seeking a Senior Data Engineer who can work autonomously and be instrumental in enhancing the Data Platform, evolving the proprietary Data Platform SDK, automated data governance and quality frameworks, and leading innovative projects for data-driven decision-making.

To be successful you will possess :

·       deep technical expertise

·       leadership

·       a forward-thinking mindset to advance data capabilities.

·       extensive  experience  designing, building, and maintaining a scalable and robust Data Platform

You will report to the Head of Data and work closely with the Platform Team.

Day to day you will :

  • Develop and optimise the  Data Platform on GCP
  • Extend the proprietary Data Platform SDK and data infrastructure
  • Implement cutting-edge solutions to improve automated data governance and data quality frameworks
  • Collaborate with internal stakeholders  to deliver solutions, and support data-driven decision-making
  • Build self-serve data products for internal customers.

To be successful in this role you will need to show evidence of :

  • 5+ years of data engineering, with a track record in a senior role.
  • Strong proficiency in Python, including developing SDKs /  similar
  • Strong proficiency in SQL and experience with relational and noSQL databases.
  • Deep knowledge of the GCP stack and familiarity with medallion architectures.
  • Batch and streaming data pipelines.
  • Designing and implementing automated data governance and data quality frameworks.
  • Methodical and logical problem-solving