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Cloud Data Solutions Expert

2 months ago

London, Greater London, United Kingdom Baringa Partners LLP Full time

We are seeking an experienced Cloud Data Solutions Expert to join our team in Manchester. This role involves helping our clients solve their most important data challenges by defining and implementing on-premise or cloud architectures, working with clients in more traditional areas of data engineering such as data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models.

The estimated salary for this role is £95,000 - £115,000 per year, depending on experience. We offer a generous annual leave policy, flexible working, corporate responsibility days, career progression opportunities, and a profit share scheme.

As a Data Solutions Expert, you will be responsible for performing maturity assessments across clients' data capabilities and recommending improvements. You will also define and implement on-premise or cloud architectures, work with clients in more traditional areas of data engineering such as data warehousing, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models.

Key skills and qualifications for this role include:

  • Strong understanding and expertise in delivering data architectures, data pipelines and solutions that are robust and scalable using modern delivery frameworks and tools
  • Experience in using cloud technologies (Azure, AWS, GCP) as both infrastructure and as a service, as well as big data platforms either on-premises or cloud setup
  • Knowledge of different technology stacks including common legacy and modern stacks, experience of applying DevOps practices to data engineering as well as ability to build CI/CD pipelines
  • Competent in SQL and at least one modern programming language, such as Python
  • Understanding of key core concepts like distributed computing, batch & stream processing, functional and object-orientated programming, how pipelines are built and deployed on cloud, pipeline schedules and SLAs