Senior Data EngineerCreated
738/1000
6 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data Product Consultant at Kubrick Group
Sept 2022 to present
Built data products and dashboards; worked with SQL, Python, Alteryx and Tableau; stakeholder engagement; used JIRA and agile methodologies.
English Teacher (OE Junior) at Open English
Dec 2021 to Aug 2022
Taught English to Spanish-speaking students across South and Central America.
Business Development Account Manager at Bechtle UK
May 2021 to Nov 2021
Account management and delivery support for technology solutions; stakeholder engagement and contribution to sustainability strategy.
Education
- Imperial College London, 2020
Match Information
Match factors
Matched(5)
- SeniorityRole: senior · Candidate: mid
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole requires Python; candidate lists Python as a skill and used it in data product work at Kubrick Group.
- SQLNice to haveRole requires SQL; candidate lists SQL as a skill and used it in the Kubrick Group data product role.
Gaps(0)
No proven gaps
For your judgment(14)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole requires Advanced SQL; candidate lists SQL and says they worked with it, but SQL depth is not stated.
- dbtRole requires dbt; candidate profile never mentions dbt, though their data career at Kubrick Group is ongoing.
- AirflowRole requires Airflow; candidate profile does not mention Airflow or any pipeline scheduler.
Reasoning
Why it fits
- Candidate has strong experience with SQL, Python, and data product development relevant to data engineering.
- Holds certifications in Collibra and Databricks, showing commitment to data governance and modern data platforms.
- Has stakeholder engagement experience which aligns with collaboration needs in the job.
- Located in London and open to hybrid work, matching the job's location and work mode requirements.
Watch-outs
- Candidate's current role is Data Product Consultant, which is adjacent but not fully senior Data Engineer role.
- Lacks explicit experience with some advanced tools required like dbt, Airflow, AWS, and Kafka.
- Seniority level is mid, while the job requires senior level, indicating a potential gap in leadership and mentoring experience.
- Job requires 5 years relevant experience; candidate has about 4 years, slightly less than preferred.
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