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Senior Data Engineer

Location:
England
Salary:
£80000 - £100000 per annum + benefits
Job Type:
Permanent
Date Posted:
16 days ago
Expiry Date:
28/05/2024
Job Ref:
BBBH110084_1714325490
Start Date:
28/04/2024
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
SoftwareDataAI EngineeringData Engineering

SENIOR DATA ENGINEER

(EU Remote Opportunity)

Xcede are delighted to be working with a very exciting Web3 / Blockchain organisation with a remote working culture. Their company makes life easier for organisations in the Web3 space by providing managed services across a range of operational tasks and responsibilities in one space.

As a Senior Data Engineer in the company, you will have several clear tasks that are essential to the smooth running of processes that make this Product so unique.

Responsibilities

  • Design and implement both batch & stream Data Pipelines around the data stores & data lake.
  • Lead by example, always aiming to work towards software engineering best practice and disaster prevention (rather than recovery).
  • Maintain and optimise the infrastructure across the company.

Requirements

  • An academic background in Statistics, Mathematics, or Computer Science (or similar)
  • A number of years of commercial working as a Senior Data Engineer (responsible for taking decisions, rather than just writing code)
  • An ability to write production quality Python code.
  • Experienced creating data pipelines on a cloud (preferably AWS) environment
  • CI/CD experience
  • Containerization experience (Docker, Kubernetes, etc.)
  • Experience with SQS/SNS, Apache Kafka, RabbitMQ
  • Other interesting / bonus skills - Airflow, Trino, Apache Iceburg, Postgres, MongoDB

You *must* be eligible to work in your chosen country of residence without sponsorship.

If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).

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Niall Wharton

Niall Wharton

Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering
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