Senior Data EngineerCreated

Last refreshed: 13:59:24
Back to matched candidates
FB

Farnaz B.

Lead BI & Data Engineer

London, England, United KingdomLinkedIn

765/1000

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

Lead BI & Data Engineer with experience in Azure, Power BI, DAX, SQL, Python and data modelling; background in BI & data engineering for healthcare.

Work History

—

Education

—

Match Information

Match factors

5 to check

Matched(6)

  • Seniority
    Role: senior · Candidate: lead
  • Location
    Role: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
  • Work mode
    Role: hybrid · Candidate accepts: remote, hybrid, on-site
  • Python
    Role needs Python; candidate lists Python as a skill and tool.
  • Data modeling
    Role needs Data modeling; candidate lists Data Modelling as a standardised skill and in summary.
  • SQLNice to have
    Role needs SQL; candidate lists SQL as a skill and tool.

Gaps(0)

No proven gaps

For your judgment(13)

  • Employment type
    Role: full-time · Candidate: not stated
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Advanced SQL
    Role needs Advanced SQL; candidate lists SQL as a skill and tool but no depth stated.
  • dbt
    Role needs dbt; candidate profile does not name dbt, though it is a data engineering career.
  • Airflow
    Role needs Airflow; candidate profile does not name Airflow, though it is a data engineering career.

Reasoning

Why it fits

  • The candidate's current role as Lead BI & Data Engineer closely aligns with the Senior Data Engineer position.
  • Strong skills in Python, SQL, data modelling, and data engineering match core job requirements.
  • Experience with Azure and Power BI complements the job's data engineering focus and tooling environment.
  • Candidate is located in London and open to hybrid and on-site work, matching the job's location and work mode.
  • Background in healthcare industry shows ability to work in complex data environments, supporting adaptability to technology sector.

Watch-outs

  • The candidate's primary experience is in BI and data engineering for healthcare, while the job is in technology and finance sectors, which may require domain adjustment.
  • The job requires specific tools like dbt, Airflow, AWS, Kafka, and Snowflake which are not evidenced in the candidate's profile.
  • The candidate's seniority as a lead is slightly higher than the senior level requested, which may affect fit.
  • The job requires hybrid work with 2 days in Shoreditch; candidate's willingness for hybrid is defaulted and not explicitly stated, creating some uncertainty about practical fit.

Reach Farnaz

Outreach:
Farnaz B.Lead BI & Data Engineer
Email not revealed
Phone not revealed
LinkedIn

Tick a way of sending, then use its button above.

Draft Message