Senior Data EngineerCreated
Jeyhun Babirzade
Senior Consultant Data Engineer at CreateFuture
812/1000
2 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
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
Matched(9)
- SeniorityRole: senior · Candidate: senior
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole requires Python; candidate lists Python as a standardised skill and used Python/PySpark in a BI role.
- dbtRole requires dbt; candidate lists dbt in tools and in the Teachers Health 2022-2025 role summary.
- AWSRole requires AWS; candidate holds AWS Certified Cloud Practitioner but lists no AWS work, mainly Azure experience.
- Data pipeline orchestrationRole requires data pipeline orchestration; candidate built ETL pipelines in Azure Data Factory and Databricks.
- Data modelingRole requires data modeling; candidate lists it as a skill, holds a SQLBI Data Modeling cert and designed models at Bolton Clarke.
- SQLNice to haveRole 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 typeRole: full-time · Candidate accepts: unknown
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole requires advanced SQL; candidate lists SQL, MS SQL Server and SQL data warehouse certs, but no stated advanced depth.
- AirflowRole requires Airflow; candidate's profile never mentions Airflow and their stack is Azure Data Factory and Databricks.
- KafkaNice to haveRole 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.
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