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Principal Data Engineer - Global DS Consultancy, London, UK

Job Type:
Job Sector:
Data, Technology
Job Category:
Development, Data Science & Data Engineering
80,000 to 110,000 per annum
Job Ref:

Principal Data Engineer - Global DS Consultancy

Xcede's Data Science & Engineering team are currently working with one of the world’s most respected Data Science consultancies on a high-profile role. Their clients range wildly from the most prominent names in banking / fintech through to leading media and sports outlets. With a very impressive Data Science, Machine Learning Engineering and Data Infrastructure Engineering team in place already, the company are looking to expand the depth of their knowledge in the latter by hiring another Lead Data Engineer.

Key Responsibilities:

- You’ll work with clients in understanding their key data needs and be responsible for architecting / implementing the solutions to harness the information available to them.
- In a hands-on capacity, you’ll be the technical expert in ingesting and processing data from a variety of sources in to the core Big Data platforms.
- Have a strong understanding of the subtleties of information security in a number of different of different domains.
- You’ll be helping to build and lead a high-performance, tight-knit, agile, quality-focused team.


- Strong development background with experience in at least two scripting, object oriented or functional programming languages, etc. SQL, Python, Java, Scala, C#,
- Experience and interest in Big Data technologies (Hadoop / Spark / NoSQL DBs)
- Experience working on projects within the cloud ideally AWS or Azure)
- Data Warehousing experience, building operational ETL data pipelines across a number of sources, and constructing relational and dimensional data models
- The ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets
- Commercial experience leading on client-facing (external or internal) projects, including working in close-knit teams

If you are interested in this or other Data Scientist or Data Engineer positions, please contact Niall Wharton on or +44(0)203 301 9908

Contact Details:
Tel: 0203 301 9908
Fax: 0203 301 9901
Contact: Niall Wharton

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