• Location: England, London
  • Salary: £50000 - £70000 per annum
  • Technology: Google Cloud Jobs
  • Job Type: Permanent
  • Date Posted: 24th Mar, 2021
  • Reference: 837261


Job Description

I am working with a hugely exciting & fast growing Google Cloud partner who are recruiting for a data engineer to support their client projects across the UK. This role will be working with a range of projects with some hugely exciting clients. This business is hugely exciting and looks after their employees like no other!

Training and certification on Google Cloud Platform (GCP) are provided as part of the extensive on- boarding program. The role offers you an exciting long term career.


Role & Responsibilities
  • Design data storage, movement and orchestration solutions
  • Identify, scope and participate in the design and delivery of cloud data platform solutions
  • Design and execute a platform modernisation approach for customers'
  • data environments
  • Design, coordinate and execute pilots, prototypes or proof of concepts, provide validation on specific scenarios and provide deployment guidance
  • Document and share technical best practices/insights with engineering colleagues and the architect community
  • Design Data Architectural solutions for structured data technologies and understand
  • unstructured data technologies
  • Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery and other data technologies
  • Define and communicate complex database concepts to technical and non-technical people
  • Travel to client sites as appropriate.
  • Create visualisations, dashboards and MIS reports
  • Keep informed around upcoming trends and technologies in Big Data and share with the wider team



Skills & Qualifications
  • Consult, design and coordinate architecture to modernise infrastructure for performance, scalability, latency and reliability
  • Knowledge of and able to consult on various technologies such as database, data warehousing and big data e.g. BigQuery, Oracle, Redshift, Teradata, Hadoop
  • Articulate communication skills to explain complex solutions to customers in a clear and concise manner, aligned with the ability to adjust style to a varied audience within an organisation.
  • Strong analytical and design skills around the full end-to-end ETL lifecycle of data pipelines in large enterprise settings
  • History of working with Data warehouse solutions (on-premise & Cloud)
  • Delivered cloud transformation & migration solutions architecture
  • Good experience of SQL on relational & non-relational database (RedShift, BigQuery, MySQL, etc)
  • Practical experience of data curation, cleansing, creation and maintenance of data sets for business purposes
  • Experience in data science modelling, analytics & BI reporting (Tableau, Looker, Periscope, DataStudio)
  • Knowledge and experience of common open source languages for data integration (Python, Go, Node.js, Java)
  • Understanding of industry standard containerisation approaches (Docker, Kubernetes, etc) would be advantageous
  • Experience in building scalable data pipelines using Hadoop Spark clusters would be desirable
  • Strong technical skills, aligned with good analytical skills
  • Project delivery within Agile methodology and planning processes
  • Experience with System and User Acceptance Testing

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