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Job Title: Senior Data Manager
Location: London (Hybrid)
Salary: £65,000 - £85,000 (Dependent on experience)
Start: ASAP
This is a great opportunity for someone who wants to lead and assist in the development of a new data team.
o Able to generate detailed and critical reports.
o Ability to build data pipelines from development to production.
o Software engineering knowledge.
o Capability to engage and draw data flow(s) in cooperation with non-technical stakeholders.
o Experience in working with CI/CD pipelines.
• Data o Strong experience in Python including but not limited to the following modules relating to:
▪ Time series data.
▪ Data frame manipulation.
▪ Statistical analyses.
▪ Machine learning.
o Familiar with processes and procedures relating to extracting data (experience in browser based automation / web scraping may be beneficial) and transforming data.
o A good understanding of APIs and able to develop sufficient code to retrieve information from online sources.
o Familiar with piping data through to and making recommendations/working with appropriate storage locations and cloud platforms, including Azure, AWS, GCP, Snowflake etc.
o An understanding of different techniques used in data cleanings.
o Familiarity with and ability to develop visualisations using PowerBI and/or other visualisation tools and import external data thereto
Senior Data Engineer
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Location:
City of London
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Sector:
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Job type:
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Salary:
£65000 - £85000 per annum
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Contact:
Callum Jarrett
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Contact email:
cjarrett@pg-rec.com
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Contact phone:
+44 (0)118 902 8800
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Job ref:
V-174147
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Published:
11 days ago
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Expiry date:
2022-08-28
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Startdate:
2022-07-28
Location: London (Hybrid)
Salary: £65,000 - £85,000 (Dependent on experience)
Start: ASAP
This is a great opportunity for someone who wants to lead and assist in the development of a new data team.
o Able to generate detailed and critical reports.
o Ability to build data pipelines from development to production.
o Software engineering knowledge.
o Capability to engage and draw data flow(s) in cooperation with non-technical stakeholders.
o Experience in working with CI/CD pipelines.
• Data o Strong experience in Python including but not limited to the following modules relating to:
▪ Time series data.
▪ Data frame manipulation.
▪ Statistical analyses.
▪ Machine learning.
o Familiar with processes and procedures relating to extracting data (experience in browser based automation / web scraping may be beneficial) and transforming data.
o A good understanding of APIs and able to develop sufficient code to retrieve information from online sources.
o Familiar with piping data through to and making recommendations/working with appropriate storage locations and cloud platforms, including Azure, AWS, GCP, Snowflake etc.
o An understanding of different techniques used in data cleanings.
o Familiarity with and ability to develop visualisations using PowerBI and/or other visualisation tools and import external data thereto