Lead Data Engineer

at  Aker Systems

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate20 Jan, 2025Not Specified21 Oct, 2024N/ASpark,Glue,Test Driven Development,Agile,Ec2,Terminal,Pipeline Development,Athena,Python,Scripting Languages,Aws,Data Structures,Macos,Scala,Working Environment,Data ModelsNoNo
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Description:

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations. Aker builds and operates ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations.
In 2022, Aker Systems was proud to win the ‘Scale up Business of the Year’ award by the British Business Excellence Awards. In 2020 Aker Systems was recognised as a ’One to Watch’ on the Sunday Times Tech Track and was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.
Most recently in September 2021, we were successfully acquired by a new investor (Abry Partners) who have a deep industry expertise in our field to support us in the next part of our journey and as we continue to grow and diversify as a business.
We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, and supportive place for you do your very best work.

How To Apply:

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Responsibilities:

As a Data Engineer, you will work on solutions that securely acquire, process and present data for our clients.

This involves:

  • Codes, tests, and documents new or modified data pipelines that meet functional / non- functional business requirements.
  • Refines logical and physical database design.
  • Expands and grows data platform capabilities to solve new data and analytics problems.
  • Conducts data analysis, identifying feasible solutions and enhancements to data processing challenges.
  • Ensures that data models are consistent with the data architecture (e.g. entity names, relationships, and definitions).
  • Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

The following criteria

Proficient

1

London, United Kingdom