Senior Data EngineerCreated
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EO
825/1000
5 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 AI & Data Engineer with an MSc in Software Engineering. Proven experience building ETL pipelines for complex healthcare FHIR data, processing large datasets with PySpark, loading to AWS/Postgres, productionalising RAG/AI applications (LangChain/LangGraph, Docker) and delivering BI solutions with Power BI and DAX.
Work History
Senior AI & Data Engineer at zh technologies
present
Education
- Master's degree in Software Engineering, University of East London
Match Information
Match factors
5 to check
Matched(6)
- SeniorityRole: senior · Candidate: senior
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole needs Python; candidate lists Python as a standardised skill and in the summary.
- AWSRole needs AWS; candidate lists AWS as a tool and loads data to AWS.
- SQLNice to haveRole needs SQL; candidate lists SQL as a standardised skill.
Gaps(0)
No proven gaps
For your judgment(13)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole needs Advanced SQL; candidate lists SQL as a skill but shows no evidence of advanced level.
- dbtRole needs dbt; dbt is not named in the candidate profile, which otherwise shows data engineering work.
- AirflowRole needs Airflow; Airflow is not named, though the candidate builds ETL pipelines.
Reasoning
Why it fits
- The candidate currently holds a Senior AI & Data Engineer role, closely matching the Senior Data Engineer position.
- Strong skills in Python, SQL, AWS, and data engineering tools align well with the job requirements.
- Experience with productionalising AI/ML systems and building ETL pipelines is relevant to the job's data pipeline focus.
- The candidate is located in London and open to hybrid and on-site work, matching the job's location and work mode.
- The candidate has a Master's degree in Software Engineering, supporting the technical demands of the role.
Watch-outs
- The candidate's experience is more focused on healthcare FHIR data and AI/ML, while the job emphasizes finance and credit risk data pipelines.
- The job requires specific tools like dbt, Airflow, Kafka, and Snowflake, which are not explicitly evidenced in the candidate's profile.
- The job's hybrid work mode requires presence in Shoreditch two days a week, which may be a minor adjustment for the candidate used to more flexible modes.
- The candidate's certifications do not include those specifically related to data engineering tools like dbt or Airflow.
Reach Emmanuel
Outreach:
Emmanuel OKONKWOSenior AI & Data Engineer at zh technologies
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