Senior Data EngineerCreated
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RP
765/1000
7 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
Senior Data Engineer based in London with a background in psychology and neuroimaging. Evidenced work on deep learning–guided imaging analysis, neuroimaging scripting (Fsleyes), and clinical imaging reads/support at LifeArc.
Work History
Senior Data Engineer at LifeArc
present
Education
- King's College London, 2017
Match Information
Match factors
7 to check
Matched(3)
- SeniorityRole: senior · Candidate: senior
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
Gaps(0)
No proven gaps
For your judgment(16)
- 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; only deep learning and data engineering skills are listed.
- Advanced SQLRole requires advanced SQL. Candidate profile does not name SQL; the current title is Senior Data Engineer.
- dbtRole requires dbt. Candidate profile does not mention dbt; tools listed are FSLeyes only.
Reasoning
Why it fits
- The candidate currently holds the same senior data engineer role as the job requires.
- They have strong experience with data engineering and scripting relevant to the role.
- The candidate is based in London and open to hybrid work modes, matching the job location and work mode.
- Their seniority level matches well with the senior role advertised.
- The candidate's background in technology and research sectors aligns with the job's industry focus.
Watch-outs
- The candidate's core skills focus on biomedical imaging and neuroimaging, which differ from the job's emphasis on financial data pipelines and tools like dbt, Airflow, and AWS.
- There is no explicit evidence of experience with key job technologies such as Python, advanced SQL, dbt, Airflow, AWS, Kafka, or Snowflake.
- The job requires hybrid work with 2 days a week onsite in Shoreditch, which may be less convenient than the candidate's current flexible remote/hybrid/on-site mix.
- The candidate's experience appears more research and clinical imaging oriented rather than financial services or credit risk data engineering.
Reach Richard
Outreach:
Richard ParkerSenior Data Engineer at LifeArc at LifeArc
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