Senior Data EngineerCreated
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6 to checkRole
Role Name
Senior Data Engineer
Company
Northstar Lending
Location(s)
London, Shoreditch
Work Mode
hybrid
Employment Type
full-time
Pay
£85,000 to £100,000 per year
Key Requirements
Skills
PythonAdvanced SQLdbtAirflowAWSData pipeline orchestrationData modeling
Tools
PythonSQLKafkaSnowflakedbtAirflowTerraformAWS
Candidate
Summary
Data professional with a Master's in Data Science and recent roles as Data Engineer (Bloomberg) and BI Engineer (Amazon). Background includes data analysis roles in banking and agricultural research—strong direction toward data engineering and BI.
Work History
Data Engineer at Bloomberg
Sept 2024 to present
Business Intelligence Engineer at Amazon
Sept 2023 to Mar 2024
Data Analyst at Union Bank of Nigeria
Sept 2021 to Sept 2022
Business Banking Relationship Manager at Union Bank of Nigeria
Jan 2020 to Aug 2021
Research Assistant at Institute for Agricultural Research and Training, Ibadan
Oct 2018 to Sept 2019
Education
- Master's degree in Data Science, University of Sussex
- Bachelor's degree in Agricultural Economics, University of Ilorin, Nigeria
Match Information
Match factors
6 to check
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
- Data modelingRole needs data modeling; profile lists data modelling as a standardised skill.
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 needs Python; profile never names Python, though it lists Data Engineer and BI roles.
- Advanced SQLRole needs advanced SQL; profile lists no SQL skill or tool, only data analysis and BI work.
- dbtRole needs dbt; profile never mentions dbt and its tools field is empty.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer, matching the job's primary role.
- The candidate has recent experience with data engineering and business intelligence tasks relevant to the job.
- The candidate holds a Master's degree in Data Science, supporting technical competence.
- The candidate is located in London, matching the job location and hybrid work mode.
- The candidate has experience with data pipelines and ETL processes, core to the job requirements.
Watch-outs
- The job requires senior-level experience, while the candidate is mid-level, indicating a seniority gap.
- The candidate lacks explicit experience with some specific tools required, such as Airflow, dbt, Kafka, and AWS.
- The job requires hybrid work with 2 days a week onsite in Shoreditch; the candidate's willingness for hybrid is defaulted, not explicitly stated.
- The candidate's recent roles are shorter in duration, which may raise concerns about depth of experience for a senior role.
Reach Ifeoluwa
Outreach:
Ifeoluwa AgbaluData Engineer at Bloomberg
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