Senior Data EngineerCreated

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Aravindnath Tagore B

Business Analyst at Microsoft

London, United KingdomLinkedIn

765/1000

4 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

BI & Data Engineering professional with ~5 years' experience building Azure-based data pipelines, Power BI semantic models (DAX), and SQL-driven ETL; experience automating workflows (Power Automate, Logic Apps) and implementing data governance. Active on AI tooling and RAG/vector prototyping.

Work History

  • Business Analyst at Microsoft

    Jul 2023 to present

    Design and optimise end-to-end data pipelines using Azure Data Factory; build Power BI semantic models and dashboards (DAX); author advanced SQL in SSMS; automate workflows with Power Automate and Logic Apps; implement data quality, governance and security; stakeholder-facing reporting and executive insights; use Confluence, SharePoint and Jira for delivery.

  • AI Generalist at Outskill

    Jan 2025 to present

    Prompt engineering and AI optimisation; experimentation with RAG and vector DBs (Vectorshift); building/testing AI voice agents (Vapi, Retell AI); hands-on with ChatGPT, Claude, Anthropic and NotebookLM; exploring diffusion models and AI automation workflows.

Education

  • University of Hertfordshire, 2021

Match Information

Match factors

4 to check

Matched(7)

  • Seniority
    Role: senior · Candidate: mid
  • Location
    Role: London, Shoreditch · Candidate: London, United Kingdom (same area)
  • Work mode
    Role: hybrid · Candidate accepts: remote, hybrid, on-site
  • Advanced SQL
    Role needs advanced SQL; candidate authors advanced SQL/T-SQL in SSMS in current Microsoft BA role.
  • Data pipeline orchestration
    Role needs pipeline orchestration; candidate designs end-to-end pipelines in Azure Data Factory and automates workflows with Logic Apps.
  • Data modeling
    Role needs data modeling; candidate builds Power BI semantic models with DAX, a related modeling practice, in current role.
  • SQLNice to have
    Role needs SQL; candidate uses SQL/T-SQL in SSMS and SQL-driven ETL in current role.

Gaps(0)

No proven gaps

For your judgment(12)

  • Employment type
    Role: full-time · Candidate: not stated
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Python
    Role needs Python; candidate profile never mentions Python, though it is a BI/Azure data engineering career.
  • dbt
    Role needs dbt; candidate profile does not mention dbt or equivalent transformation framework.
  • Airflow
    Role needs Airflow; candidate uses Azure Data Factory and Logic Apps, Airflow not mentioned.

Reasoning

Why it fits

  • Candidate has strong experience designing and optimizing Azure data pipelines relevant to data engineering.
  • Proficient in SQL and data transformation, matching core job requirements.
  • Experience with workflow automation and data governance aligns with job's data quality focus.
  • Located in London and open to hybrid work, matching job location and mode.
  • Candidate has about 5 years relevant experience, close to senior level requirements.

Watch-outs

  • Job requires senior level experience, candidate is mid-level, which may limit leadership and mentoring fit.
  • Candidate lacks explicit experience with AWS, Airflow, dbt, and streaming technologies like Kafka required by the job.
  • No direct evidence of Python programming skills or cloud platform experience beyond Azure.
  • Job requires hybrid work in Shoreditch specifically; candidate location is London generally, practical fit slightly reduced.

Reach Aravindnath

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Aravindnath Tagore BBusiness Analyst at Microsoft
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Draft Message

Aravindnath Tagore B | JobVantage