Senior Data EngineerCreated

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JB

Jeyhun Babirzade

Senior Consultant Data Engineer at CreateFuture

London, England, United KingdomLinkedIn

812/1000

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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

—

Work History

  • Senior Consultant Data Engineer at CreateFuture

    Jul 2025 to present

  • Senior Consultant Data Engineer at Mesh-AI

    Apr 2025 to Jul 2025

  • Principal Data Engineer at Teachers Health

    Oct 2022 to Apr 2025

    CI/CD, DevOps, Azure Data Factory, Databricks, dbt, APIs, data warehousing, data lakehouse

  • Senior Consultant (cloud/data engineer) at Bridge Business Consulting

    Aug 2021 to Oct 2022

    Led data engineering projects; defined data migration strategies and architectures; built ETL for legacy migration and decommissioning; GDPR compliance.

  • Senior Data Engineer at Bolton Clarke

    Jul 2019 to Aug 2021

    Developed and maintained data stores and pipelines in mixed on-prem/cloud; designed data models, warehouses, SSAS models and Power BI datasets; Azure ETL (Data Factory, Databricks, Synapse); coached stakeholders.

  • Business Intelligence Analyst at Department of Transport and Main Roads

    Apr 2018 to Jun 2019

    Developed enterprise reporting and dashboards; data quality management, automation, data discovery; used Microsoft BI, Python/PySpark, SQL, Azure.

Education

  • The University of Queensland, 2013

Match Information

Match factors

2 to check

Matched(9)

  • Seniority
    Role: senior · Candidate: senior
  • 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 lists Python as a standardised skill and used Python/PySpark in a BI role.
  • dbt
    Role requires dbt; candidate lists dbt in tools and in the Teachers Health 2022-2025 role summary.
  • AWS
    Role requires AWS; candidate holds AWS Certified Cloud Practitioner but lists no AWS work, mainly Azure experience.
  • Data pipeline orchestration
    Role requires data pipeline orchestration; candidate built ETL pipelines in Azure Data Factory and Databricks.
  • Data modeling
    Role requires data modeling; candidate lists it as a skill, holds a SQLBI Data Modeling cert and designed models at Bolton Clarke.
  • SQLNice to have
    Role requires SQL; candidate lists SQL as a skill and MS SQL Server as a tool.

Gaps(0)

No proven gaps

For your judgment(10)

  • Employment type
    Role: full-time · Candidate accepts: unknown
  • Pay
    Role: £85,000–£100,000 · Candidate: pay expectation not stated
  • Advanced SQL
    Role requires advanced SQL; candidate lists SQL, MS SQL Server and SQL data warehouse certs, but no stated advanced depth.
  • Airflow
    Role requires Airflow; candidate's profile never mentions Airflow and their stack is Azure Data Factory and Databricks.
  • KafkaNice to have
    Role requires Kafka; candidate's profile never mentions Kafka and their stack is Azure and Microsoft BI tools.

Reasoning

Why it fits

  • The candidate currently holds a senior data engineer role with relevant recent experience.
  • Strong skills in Python, SQL, dbt, and data modeling align well with the job requirements.
  • Experience with Azure data platforms and CI/CD practices supports the DevOps and data pipeline orchestration needs.
  • The candidate has mentoring experience, matching the job's requirement to mentor mid-level engineers.
  • Located in London and open to hybrid work modes, matching the job's location and work mode.

Watch-outs

  • The candidate's primary experience is with Azure cloud, while the job requires AWS expertise, which may require some ramp-up.
  • The job emphasizes streaming data technologies like Kafka and Airflow on AWS, which are less prominent in the candidate's recent roles.
  • The job is in the technology and internet sector, whereas the candidate's recent roles are mostly in health and consulting sectors, which may affect domain fit.
  • The job requires hybrid work with 2 days a week onsite in Shoreditch; the candidate's work mode preferences are defaulted and may need confirmation.

Reach Jeyhun

Outreach:
Jeyhun BabirzadeSenior Consultant Data Engineer at CreateFuture
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