• Location: England, London
  • Date Posted: 20th May, 2021
  • Reference: DATAENGLEAD

Job Description

I am working with an exciting Google cloud partner who are looking to engage with a Data engineering team leader. This is a brand new, exciting role that will play a key role in the growth of my clients data offering to a number of enterprise clients in the Google Cloud space.

Role & Responsibilities
  • Lead and inspire an experienced team of data engineers and scientists, working with them on their skills, personal development and career growth
  • Act as a technical decision maker and point of authority for delivery projects
  • Become the go-to-person for delivery and sales teams to help solve Data Engineering problems
  • Work with customers to translate requirements into technical designs and follow this through to delivery of the solution. You will be able to design highly available, complex data platforms, and develop others to be able to do so
  • Advise customers on modern approaches to data engineering and the best approach to solve their unique problems
  • Coordinate project resourcing with other areas of the business, ensuring the right people are in the right place with the right skills
  • Work closely with our CTO to develop Go To Market strategies for our Data Engineering and Machine Learning offerings.
  • Develop internal tooling, and improve processes, for the wider team and business.
  • You will love to find ways to do things better

Skills & Qualifications
  • Significant commercial experience in the area of data engineering or machine learning
  • Extensive hands-on experience with at least one major cloud provider (GCP, AWS, Azure), including the use of their data related components to build solutions
  • Experience working in complex corporate customer environments
  • Experience designing and building large data architectures
  • Strong experience building ETL / ELT pipelines, Data Lakes and Data Warehouses

A good understanding of some of the following:
  • Hadoop / Spark
  • Apache Airflow
  • Apache Beam
  • Relational database technologies (Microsoft SQL, Oracle or PostgreSQL)
  • Teradata
  • Tensorflow
  • Analytical tools (Looker, Tableau, Qlik, Data Studio)
  • Significant experience in using languages like Python, R and SQL as well as Google database services like Firestore, Cloud SQL and/or Big Query
  • Previous experience in a consultancy or professional services role is highly desirable

Desirable Skills:
  • Masters or Doctorate in Maths, Data Science or similar
  • GCP/AWS/Azure professional certifications. We're a Google partner, but principles from other cloud providers apply.
  • Experience in working in an agile project based environment