Senior Data EngineerCreated

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Dinah David

Data Engineer at Talon

London, United KingdomLinkedIn

765/1000

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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

Senior Data Engineer (12+ years) experienced in Azure data platform (ADF, Databricks, ADLS), ETL and data integration. Microsoft Certified: Azure Data Engineer Associate; Executive PG in Data Science.

Work History

  • Data Engineer at Talon

    Jan 2024 to present

  • Data Engineer at Haleon

    Feb 2021 to Nov 2023

    Led data engineering work on Azure: built and maintained data pipelines, ETL processes, data integration and quality; used Azure Data Factory, Azure Databricks, ADLS Gen2, Azure SQL Database, Key Vault, Logic Apps; collaborated with data scientists and analysts to operationalise analytics.

  • Data Engineer at GSK

    Feb 2021 to Jul 2022

  • Software Engineer at SLK

    Aug 2016 to Feb 2021

    Developer on multiple projects (payment processing, IVR, dashboards) using Java, Spring, JSP, jQuery, REST/SOAP, SQL; delivered backend and frontend components and monitoring dashboards.

  • Sr software engineer at Capgemini

    Nov 2013 to Apr 2016

    Worked on OMD project building customer-facing screens and backend integrations using Java, Spring, JSP, jQuery and RESTful services.

Education

  • Liverpool John Moores University, 2023
  • Executive PG Programme in Data Science in Data Science, IIIT Bangalore, 2022
  • Unknown institution (20092013), 2013

Match Information

Match factors

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Matched(6)

  • Seniority
    Role: senior · Candidate: senior
  • Location
    Role: London, Shoreditch · Candidate: London, United Kingdom (same area)
  • Work mode
    Role: hybrid · Candidate accepts: remote, hybrid, on-site
  • Python
    Role requires Python; candidate lists Python in standardised skills and PySpark in skills.
  • Data pipeline orchestration
    Role requires pipeline orchestration; candidate built and maintained pipelines in Azure Data Factory at Haleon.
  • SQLNice to have
    Role requires SQL; candidate lists SQL, Azure SQL Database and Databricks SQL.

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 requires advanced SQL; candidate lists SQL and Azure SQL work but shows no depth level.
  • dbt
    Role requires dbt; dbt never appears and tooling is Azure ADF and Databricks only.
  • Airflow
    Role requires Airflow; Airflow never appears and orchestration is Azure Data Factory.

Reasoning

Why it fits

  • Candidate has strong recent experience as a Data Engineer using Azure data platform, closely related to the job's data engineering focus.
  • Candidate has senior-level experience and relevant certifications including Microsoft Certified: Azure Data Engineer Associate.
  • Candidate has solid skills in Python, SQL, ETL, and data pipeline orchestration, matching many core job requirements.
  • Candidate is located in London and open to hybrid and on-site work, matching the job's location and work mode.
  • Candidate has experience collaborating with data scientists and operationalising analytics, aligning with job collaboration tasks.

Watch-outs

  • Candidate's primary cloud experience is Azure, while the job requires AWS and related tools, indicating a platform mismatch.
  • Candidate lacks explicit experience with dbt, Airflow, Snowflake, and Kafka, which are key tools for this role.
  • Job requires mentoring mid-level engineers and improving data quality observability, which is not clearly evidenced in candidate's history.
  • Job is hybrid in Shoreditch with a salary floor of £85,000; candidate's compensation expectations are unknown, creating some uncertainty in practical fit.

Reach Dinah

Outreach:
Dinah DavidData Engineer at Talon
Email not revealed
Phone not revealed
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