Senior Data EngineerCreated

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Hari R

Data Engineer at Forvis Mazars in the UK

London, England, United KingdomLinkedIn

765/1000

6 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

Data Engineer (mid) with ~5 years' experience building Azure data solutions, data lakes/lakehouse pipelines, real-time analytics and ML-based fraud detection. MSc Data Science (in progress).

Work History

  • Data Engineer at Forvis Mazars in the UK

    Oct 2023 to present

    Architected and implemented Data Lake solutions enabling real-time analytics; collaborated with external vendors to improve model performance; documented processes and created a knowledge base.

  • System Engineer at Infosys

    Jul 2019 to Oct 2021

    Designed and implemented database solutions in Azure; conducted exploratory data analysis; improved fraud detection using clustering techniques.

Education

  • University of Hertfordshire, 2025
  • Unknown, 2020

Match Information

Match factors

6 to check

Matched(5)

  • Seniority
    Role: senior · Candidate: mid
  • 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's standardised skills list Python.
  • SQLNice to have
    Role requires SQL as a tool; candidate lists SQL in tools and skills.

Gaps(0)

No proven gaps

For your judgment(14)

  • Employment type
    Role: full-time · Candidate: not stated
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Advanced SQL
    Role requires advanced SQL; candidate lists SQL as a skill but shows no advanced-level work.
  • dbt
    Role requires dbt; dbt never appears and candidate's career is Azure-based data engineering.
  • Airflow
    Role requires Airflow; Airflow never appears and candidate's pipeline work is Azure-based.

Reasoning

Why it fits

  • Candidate has strong recent experience as a Data Engineer, matching the job's primary role.
  • Experience with Python, SQL, and data engineering aligns well with job requirements.
  • Candidate has worked with Azure data lakes and real-time analytics, relevant to data pipeline design.
  • Located in London and open to hybrid or on-site work, matching job location and mode.
  • Candidate has about 5 years of relevant experience, close to job's seniority level.

Watch-outs

  • Job requires senior-level experience, candidate is mid-level, indicating a seniority gap.
  • Candidate lacks explicit experience with AWS, dbt, Airflow, and some streaming tools like Kafka, which are key for this role.
  • Job demands advanced SQL and specific tools like Snowflake and Terraform not evidenced in candidate profile.
  • Job is in technology and internet sector, candidate's experience is mainly in accounting and IT consulting sectors, a slight industry mismatch.
  • Job requires hybrid work in Shoreditch specifically; candidate states London broadly, practical fit slightly reduced.

Reach Hari

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Hari RData Engineer at Forvis Mazars in the UK
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