Senior Data EngineerCreated
755/1000
7 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data Engineer at Quantexa
Mar 2022 to present
Social Media Marketer at Football Carpets
Oct 2018 to May 2020
Managed social media channels for a licensed football-team carpet retailer.
Production Supervisor at Football Carpets
Aug 2018 to Oct 2018
Supervised production of carpet samples, responsible for team deadlines and quality standards.
Social Media Marketer at OnAir.
Jun 2019 to Apr 2020
Managed social media channels for an aerial and satellite installation company.
Social Media Marketer at Club Rug
Apr 2019 to Apr 2020
Managed social media channels for a licensed football-team rug retailer.
Civil Engineering Intern at TWI
Aug 2016 to Sept 2016
Researched stress patterns of metals using a scanning tunnelling microscope and presented findings in company meetings.
Education
- University of Bristol, 2021
Match Information
Match factors
Matched(4)
- SeniorityRole: senior · Candidate: mid
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- SQLNice to haveRole requires SQL; candidate lists SQL under both skills and tools.
Gaps(0)
No proven gaps
For your judgment(15)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- PythonRole requires Python; candidate profile does not name Python, though they are a Data Engineer at Quantexa since 2022.
- Advanced SQLRole requires advanced SQL; candidate lists SQL as a skill and tool but states no depth level.
- dbtRole requires dbt; candidate profile does not mention dbt, though they work as a Data Engineer at Quantexa.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer, closely matching the job title and function.
- The candidate has relevant skills in data pipeline development and SQL, which are core to the job.
- The candidate is located in London, matching the job location and willing to work hybrid or on-site.
- The candidate has experience with data engineering tasks, supporting the job's requirements.
- The candidate's industry experience in IT services aligns well with the technology sector of the job.
Watch-outs
- The job requires senior-level experience, but the candidate is mid-level, indicating a gap in seniority.
- The job demands advanced skills in Python, dbt, Airflow, AWS, and streaming data technologies, which are not evidenced in the candidate's profile.
- The candidate's recent experience is limited to data engineering without explicit mention of mentoring or ownership of complex data models.
- The job requires hybrid work with specific days in Shoreditch, which may be a practical adjustment for the candidate despite being in London.
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