Senior Data EngineerCreated

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Ollie Fennell Wells

Data Engineer at Pacific Life Re

London, England, United KingdomLinkedIn

825/1000

5 to check

Role

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

—

Work History

  • Data Engineer at Pacific Life Re

    May 2025 to present

  • Senior Data Engineer at Kubrick Group

    Jan 2023 to May 2025

  • Data Consultant at Dufrain

    Mar 2022 to Jan 2023

  • Senior Associate - Data & Analytics at PwC

    Jul 2021 to Mar 2022

  • Associate - Data & Analytics at PwC

    Sept 2019 to Jun 2021

Education

  • MEng in Electronic Engineering, University of Southampton

Match Information

Match factors

5 to check

Matched(6)

  • Seniority
    Role: senior · Candidate: senior
  • Location
    Role: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
  • Work mode
    Role: hybrid · Candidate accepts: remote, hybrid, on-site
  • Python
    Role requires Python; candidate lists Python under standardised skills.
  • AWS
    Role requires AWS; candidate lists AWS as a tool plus two AWS certifications.
  • SQLNice to have
    Role requires SQL tool; candidate lists SQL under standardised skills.

Gaps(0)

No proven gaps

For your judgment(13)

  • Employment type
    Role: full-time · Candidate accepts: unknown
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Advanced SQL
    Role requires advanced SQL; candidate lists SQL but no advanced-level evidence.
  • dbt
    Role requires dbt; dbt not in profile, though candidate's roles are data engineering.
  • Airflow
    Role requires Airflow; Airflow not named, though candidate's roles are data engineering.

Reasoning

Why it fits

  • The candidate currently works as a Data Engineer and has recent experience as a Senior Data Engineer, matching the job title closely.
  • Strong skills in Python, SQL, AWS, and data engineering tools align well with the job's technical requirements.
  • The candidate has senior-level experience consistent with the job's seniority level.
  • Experience in insurance and consulting industries provides relevant domain knowledge transferable to technology sector roles.
  • Candidate is located in London and open to hybrid and on-site work modes, matching the job's location and hybrid work requirement.

Watch-outs

  • The candidate's industry experience is primarily insurance and consulting, which is somewhat different from the job's technology and internet sector focus.
  • The job requires specific tools like dbt, Airflow, Kafka, and Snowflake, which are not explicitly listed in the candidate's skills, indicating potential gaps in specialized tooling experience.
  • The job requires mentoring mid-level engineers and improving data quality observability, which is not clearly evidenced in the candidate's history.
  • The candidate's compensation expectations are unknown, while the job specifies a salary range, creating some uncertainty about practical fit.

Reach Ollie

Outreach:
Ollie Fennell WellsData Engineer at Pacific Life Re
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