Senior Engineer (VP)

£110000 - £125000 per annum
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PLEASE CONTACT

KYLE ROSSI

GCP Senior Engineer

London, Hybrid

Permanent

Up to £125,000

Sponsorship - Unavailable


About
The Sales Analytics team consumes data for reporting, deep data analysis as well as advanced data science and provides the front office a clear view on client’s activity and profitability.
We are responsible for all steps of bringing high-quality data to end users: Extract, Load, Transform (ETL) processes, data analysis and preparation, development of interactive presentation layer.
We are growing rapidly and looking to strengthen our capabilities and bring new expertise to our team. The development team is distribution across US, UK, Germany, and Russia. You will be collaborating with sales, research, and operations teams across the globe.

You will have strong design and coding skills and solid understanding of web development and be a team player. You will have passion for software engineering and the ability to work in a fast-paced evolving environment.

As a senior data engineer, you will be a hands-on individual contributor, co-responsible for the design, implementation, maintenance, and operation of all planned data engineering initiatives and activities

Your key responsibilities

  • Design and ownership of data pipelines spanning multiple technologies from requirements to production release and 3rd level support
  • Collaborate with Project Managers, Architect’s, and Data Scientists to deliver solutions
  • Ownership of data pipelines spanning multiple technologies from requirements to production release and 3rd level support
  • Conduct complex data analysis and prototyping to identify new insights for the business
  • Mentor less experienced resources on design and delivery technical solutions


Your skills and experience

  • Excellent Knowledge of Java and Structured Query Language (SQL)
  • Excellent knowledge of data modelling principles, data algorithms, and data structure best practice
  • Experience of ETL (Spark, Hive, Hadoop) Ecosystem and columnar database preferred (Click House) and Relational Database Management System (RDMS) systems preferred (Oracle)
  • BigQuery experience
  • Design and implementation of Representational State Transfer (REST) Application Programming Interface (APIs)
  • Experience of data pipelines in public cloud, Google Cloud Platform (GCP/Azure) ideally GCP is (desirable)

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

 

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