Senior Data EngineerCreated

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

Shilpa J Babu

Senior Data Engineer at Methods Analytics

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

Senior Data Engineer with ~6 years' experience building ETL pipelines, API-based ingestion, and cloud data platforms (Snowflake, Azure). Strong SQL, Talend, ADF, SSIS and BI (Power BI, SSAS, Tableau) background, primarily in healthcare and analytics environments.

Work History

  • Senior Data Engineer at Methods Analytics

    Jan 2022 to present

    Led engineering and execution of data integration models; built API ingestion (REST/SOAP) and ETL pipelines; integrated SSAS tabular models with Power BI; used Azure cloud services to improve scalability and performance.

  • Senior Data Engineer at Elysium Healthcare

    Jan 2020 to Jan 2022

    Led data migration into Snowflake using Talend; managed Talend packages and Azure Data Factory pipelines; integrated APIs and maintained Power BI/SSAS deliverables; executed complex SQL in Snowflake.

  • Tableau Developer at NHS Improvement

    Jul 2018 to Dec 2020

    Developed interactive Tableau dashboards across multiple healthcare datasets; produced provider- and regional-level reports and data packs; improved reporting efficiency.

  • SQL Developer at CNWL

    Jan 2018 to Jul 2018

    Optimised SQL queries and maintained complex scripts and stored procedures to support reporting and data integration.

Education

  • Bachelor's degree in Information Technology, University Vishweshwaraya College of Engineering

Match Information

Match factors

4 to check

Matched(8)

  • 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
  • Advanced SQL
    Role requires advanced SQL; candidate has strong SQL, complex Snowflake SQL and optimised queries and stored procedures.
  • Data pipeline orchestration
    Role requires pipeline orchestration; candidate managed Azure Data Factory pipelines and Talend packages.
  • Data modeling
    Role requires data modeling; candidate lists data modelling as a skill and built integration models at Methods Analytics.
  • SQLNice to have
    Role requires SQL; candidate lists SQL as a core skill and has used it across roles since 2018.
  • SnowflakeNice to have
    Role requires Snowflake; candidate lists Snowflake as a tool and led a Talend migration into it at Elysium Healthcare.

Gaps(0)

No proven gaps

For your judgment(11)

  • Employment type
    Role: full-time · Candidate: not stated
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Python
    Role requires Python; candidate's skills and tools list SQL, C# and ETL tools, and Python never appears.
  • dbt
    Role requires dbt; candidate's tooling is Talend, ADF and SSIS, and dbt never appears.
  • Airflow
    Role requires Airflow; candidate orchestrates with ADF and Talend, and Airflow never appears.

Reasoning

Why it fits

  • The candidate currently holds a Senior Data Engineer role matching the job title and seniority.
  • Strong experience with data integration, ETL pipelines, and cloud platforms like Azure and Snowflake aligns well with job requirements.
  • Proven skills in SQL, data modeling, and API integration support core job tasks.
  • Experience mentoring and leading data engineering efforts fits the seniority and collaboration aspects.
  • Located in London and open to hybrid work modes, matching the job's location and work mode requirements.

Watch-outs

  • The candidate's primary cloud experience is Azure, while the job emphasizes AWS, which may require some adjustment.
  • The job requires specific tools like dbt, Airflow, and Kafka, which are not evidenced in the candidate's history.
  • The candidate's industry experience is mainly healthcare and analytics, whereas the job is in technology and recruiting sectors, which may affect domain fit.
  • The job requires hybrid work with 2 days in Shoreditch; practical fit is good but not perfect due to unspecified commute preferences.

Reach Shilpa

Outreach:
Shilpa J BabuSenior Data Engineer at Methods Analytics
Email not revealed
Phone not revealed
LinkedIn

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

Draft Message