Senior Data EngineerCreated
Mina Michael Kirollos
Data Engineer at Trium Capital
765/1000
5 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data Engineer at Trium Capital
Dec 2024 to present
Running a data platform for a multi-strategy hedge fund: ingesting, transforming and reporting on financial datasets (Bloomberg, prime brokers, APIs, SFTP). Led redesign of data infrastructure, introduced engineering best practices, CI/CD, and containerised key services to improve stability and observability.
Analytics Engineer at Brit Insurance
Nov 2023 to Dec 2024
Data Engineer Intern at BAE Systems Digital Intelligence
Jun 2022 to Sept 2022
Analytics Intern at The Walt Disney Company
Jun 2021 to Jun 2022
Education
- Brunel University London, 2023
Match Information
Match factors
Matched(6)
- SeniorityRole: senior · Candidate: mid
- 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 skill and Python-based data projects in summary.
- AWSRole needs AWS; candidate lists AWS skill and AWS Certified Cloud Practitioner.
- SQLNice to haveRole needs SQL tool; candidate lists SQL skill and PostgreSQL in tools.
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 skill but no depth stated.
- dbtRole needs dbt; dbt not named in candidate's skills, tools or experience.
- AirflowRole needs Airflow; not named, only generic ingestion/ETL pipelines described.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer with relevant experience in data platforms and pipelines.
- Strong skills in Python, SQL, AWS, and containerisation align well with the job requirements.
- Experience with CI/CD and improving observability supports the job's focus on data quality and monitoring.
- Located in London and open to hybrid work modes, matching the job's location and work mode.
Watch-outs
- The job requires senior-level experience, while the candidate is mid-level, indicating a potential seniority gap.
- The candidate lacks explicit experience with some specific tools like dbt, Airflow, Kafka, and Snowflake mentioned in the job.
- The job is in the technology and internet sector, whereas the candidate's experience is primarily in financial services and insurance, which may affect domain fit.
- The job requires hybrid work with 2 days a week in Shoreditch, which may be a minor practical adjustment for the candidate.
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