Efficient Data Management Solutions Expert

5 days ago


Edinburgh, Edinburgh, United Kingdom Lane Clark & Peacock LLP. Full time

We are Lane Clark & Peacock LLP, a specialist energy transition practice committed to supporting the energy sector in driving the transition. Our team is dedicated to furthering the transition across the whole value chain, focusing on power market modelling and downstream energy services markets.

About the Position:

We are seeking a highly skilled Junior/Mid level Data Engineer to join our team. The ideal candidate will design, build, and maintain efficient data systems and pipelines that support our business objectives. This involves working closely with data analyst teams to ensure they have access to clean and processed data, enabling them to construct comprehensive reports for clients effectively.

This role offers an exciting opportunity for someone early in their career to learn about deploying production-level processes in data engineering, within the context of helping clients in the energy sector further the energy transition.

Main Duties:
  • Design and implement scalable data management systems
  • Evaluate and ensure systems meet business requirements
  • Develop data pipelines that efficiently extract data from various sources, standardizing formats for consistency
  • Integrate the latest advancements in data management systems and software development methodologies into projects
  • Analyse ways to improve data reliability, efficiency, and quality
  • Create testing rigs to guarantee quality control
  • Collaborate with data analysts on project goals

The successful candidate will have experience as a data engineer, software developer, or in a similar role, with expertise in data modelling, data warehousing, and building ETL pipelines. They should possess strong SQL knowledge and experience working with relational databases. Experience with cloud services (preferably Azure) is also required.

Your Skills and Qualifications:
  • Experience with object-oriented languages such as Java, Python, C#
  • Familiarity with structured and unstructured datasets
Salary and Benefits Package:

We offer a competitive salary range of £65,000 - £85,000 per annum, depending on experience, plus a range of benefits including hybrid working, professional study support, and enhanced maternity/paternity/adoption and shared parental leave.



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