Senior Data EngineerCreated
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SK
755/1000
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
Data Engineer with 4+ years' experience working with big-data technologies. Based in London.
Work History
Data Engineer at TxSprint
present
Education
- Northumbria University, 2022
Match Information
Match factors
7 to check
Matched(3)
- SeniorityRole: senior · Candidate: mid
- 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 skills list Big data, Data engineering and ETL, but Python is not named.
- Advanced SQLRole requires Advanced SQL. Candidate profile does not name SQL or its level; career is data engineering.
- dbtRole requires dbt. Candidate profile does not mention dbt; Tools and Certifications sections are empty.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer, closely matching the job title and function.
- The candidate has 4+ years of experience with big-data technologies relevant to the job.
- The candidate is based in London, matching the job location and willing to work hybrid.
- The candidate's skills in data engineering and ETL align well with the job's core tasks and tools.
- The candidate's experience with data modelling and data quality monitoring supports the job's requirements.
Watch-outs
- The job requires senior-level experience with 5+ years, while the candidate has 4 years, indicating a slight seniority gap.
- The candidate lacks explicit experience with some specific tools and technologies required by the job, such as Python, Airflow, dbt, AWS, and Kafka.
- The job demands mentoring and ownership responsibilities that may exceed the candidate's current scope.
- The job is hybrid with 2 days a week onsite in Shoreditch, which may require adjustment despite the candidate being in London.
Reach Sasi
Outreach:
Sasi KData Engineer at TxSprint
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