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Senior Data Engineer - AWS

Location:
London
Salary:
Negotiable
Job Type:
Permanent
Date Posted:
23 days ago
Expiry Date:
10/05/2024
Job Ref:
BBBH109772_1712755030
Start Date:
10/04/2024
Contact:
Morgan Beck
Contact Email:
morgan.beck@xcede.com
Specialism:
Data EngineeringData

Senior Data Engineer

£75,000 to £90,000

Flexible working - Ideally 2 day a month London

My Client is a market leader in the retail and e-commerce space who invest in innovation, delivering unparalleled shopping experiences to millions of customers in several formats. They are looking for a experienced Senior Data Engineer to join their growing team and help drive their scalable Data management systems.

You should come with a proven track record in managing large-scale data infrastructures and pipelines that support sophisticated analytics. The ideal candidate will be responsible for designing, building, and maintaining robust data solutions that drive strategic decision-making across multiple business units. This role is for someone who principally still loves to code, but who also feels comfortable engaging with stakeholders and mentoring others.

Key Responsibilities:

  • Design and implement scalable data architectures using modern cloud platforms. Our client have a strong preference for Snowflake experience, but are open to those from a GCP / AWS / Azure background more generally.
  • Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration.
  • Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances.
  • Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs.
  • Support machine learning model deployments by ensuring seamless access to quality datasets.
  • Troubleshoot complex issues arising from extensive big-data environments.
  • Maintain comprehensive documentation of systems architecture and workflows.

What you need to succeed:

  • Ideally, a Bachelor's degree in Computer Science or related field; Master's preferred.
  • Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets.
  • Expertise in SQL & dbt and ideally Kafka
  • Significant Python coding skills
  • Containerisation experience (Dockers, Kubernetes)
  • Cloud Computing experience ( AWS / Azure )
  • Strong preference for a Snowflake background but open to Bigquery or Redshift

Unfortunately sponsorship cannot be provided for this role

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Morgan Beck

Morgan Beck

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