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Graduate - Data engineering

Graduate - Data engineering

  • Location United Kingdom - South East - Sunbury
  • Travel required
  • Job category IT&S Group
  • Relocation available
  • Job type Graduates
  • Job code 141636BR
  • Experience level
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Job summary

About the roles
It’s all about the data! There is no surprise that data is a seamless fabric that pervades every corner of our planet, making it the most valuable renewable resource. Data’s value stems from its potential to be distilled into an essential commodity. In its most refined state, data can be transformed into knowledge which powers decision making and provides opportunities for operational efficiencies and increased revenue.

Come blaze passion into designing, building, and integrating big data with the Data Engineering team to help make data and its pipelines more useful to the enterprise. Supercharge your human operating system and learning capacity while experimenting with new technology products, building, and maintaining data structures and architecture for data ingestion and processing. You’ll learn techniques, approaches and help develop technology products that enable data discovery, visualisation, and insights.


About You

  • Apply your insatiable curiosity to create data ingestion patterns and deliver data to consumers
  • Develop queries or algorithms to ingest data from various sources into a cloud-based environment and data ecosystem
  • Build required infrastructure for optimal extraction, transformation and loading of data
  • Assist in preparing big data infrastructure for large-scale data intensive applications
  • Optimise and engineer cloud architectures, data storage technologies
  • Activate your limitless potential in designing, building, and testing data products, scripts or connectors for advanced analytics
One Digital
For graduates, the One Digital Early Careers program is two years, comprising two 12-month rotations within a dedicated digital discipline. This provides early careers with a breadth of experience and the opportunity to build technical depth to apply to the most complex problems of the future.


Requirements
  • To apply to this role you'll need to a 2:1 degree, or equivalent in Computer Science, Management Information Systems, Computer Engineering or related technical or business field.
  • You’ll also need to be in your final year of study or have completed your degree.
  • Experience designing, testing, optimizing, and troubleshooting ETL solutions.
  • Experience writing software in one or more programming languages (e.g. Python, Java, Scala).
  • Experience with database technologies and SQL.

Desirable criteria
  • Experience designing data architecture, APIs and system integration.
  • Experience large scale distributed data processing, including familiarity with NoSQL databases.
  • Experience cloud computing, like Azure, AWS.
  • Proficiency in all aspects of software development cycle.
  • Excellent communication, organizational, and analytical skills
  • Ability to work using the agile scrum, kanban or agile framework
  • Self-motivated with an enthusiastic and proactive, passionate approach to learn and inspire
  • Be an imaginative / creative problem solver
  • Energetic communicator open to co-create and collaborate on a cross-functional team

As this is a technical role if you are successful in progressing to the on-demand video interview stage a short coding test will follow the interview. Your responses to the coding test will be reviewed alongside the other elements of the assessment process; the test is not pass or fail.

If you need to make any adjustments to any stage of the recruitment process, for example due to an illness, injury or a disability, please contact us on 0800 279 2088 or email enquiry@bpgraduates.co.uk. If you are calling from overseas, please dial +44 1635 584149

Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status or disability status.

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