Senior Data EngineerCreated
Manali Gawde
Data Engineer at JLR
745/1000
2 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data Engineer at JLR
Apr 2025 to present
Data Engineer at Sky
Nov 2023 to Dec 2024
Built Airflow-orchestrated ETL/ELT pipelines into Cloud Storage; implemented data quality checks on BigQuery using Dataform and DBT; designed CI/CD with Docker and GitLab; led migration of >10M records from on-prem PostgreSQL to GCP; created real-time streaming pipelines with Cloud Functions and Pub/Sub; produced reusable reporting for finance.
Data Engineer Intern at Sky
Jan 2023 to Nov 2023
Data Analyst at Capita
Oct 2022 to Dec 2022
Maintained BI solutions using Excel, VBA and Tableau; developed Tableau visualisations to communicate business metrics to senior management.
Risk Analyst at Signifyd
May 2022 to Sept 2022
Worked on fraud-detection models and MLOps practices; extracted and analysed data from SQL Server using Looker and advanced SQL; monitored and optimised ML model performance in production.
SAP ABAP Consultant at VACS Technology Pvt. Ltd.
Jun 2019 to Nov 2019
Education
- Master's (Data Analytics and Business Intelligence) in Data Analytics / Business Intelligence, University of Leicester, 2022
Match Information
Match factors
Matched(8)
- SeniorityRole: senior · Candidate: mid
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole requires Python. Candidate: Python in skills, Python 101 certification, and 'strong Python/SQL skills' in summary.
- Advanced SQLRole requires Advanced SQL. Candidate: 'strong Python/SQL skills' and advanced SQL on SQL Server data at Signifyd.
- dbtRole requires dbt. Candidate: DBT used for data quality checks on BigQuery at Sky, plus Dataform.
- AirflowRole requires Airflow. Candidate: built Airflow-orchestrated ETL/ELT pipelines at Sky; Apache Airflow listed in tools.
- Data pipeline orchestrationRole requires pipeline orchestration. Candidate: Airflow-orchestrated ETL/ELT pipelines into Cloud Storage at Sky.
- SQLNice to haveRole requires SQL. Candidate: SQL in skills and tools, with advanced SQL work on SQL Server and BigQuery.
Gaps(0)
No proven gaps
For your judgment(11)
- LocationRole: London, Shoreditch · Candidate: Wolverhampton, England, United Kingdom (90 mi)
- Employment typeRole: full-time · Candidate accepts: unknown
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- AWSRole requires AWS. Candidate: career is GCP (BigQuery, Pub/Sub, Cloud Functions); AWS never appears in the profile.
- Data modelingRole requires data modeling. Candidate: no explicit data modeling in profile; dbt and BigQuery work only implies it.
Reasoning
Why it fits
- Candidate has strong recent experience as a Data Engineer with relevant tools like Airflow, dbt, and Python.
- Experience with GCP data architectures and real-time streaming pipelines aligns well with job's data pipeline and streaming requirements.
- Candidate has worked on data quality checks and CI/CD, matching job's focus on data quality and pipeline orchestration.
- Candidate's education in Data Analytics and Business Intelligence supports the technical requirements.
- Candidate is located in the UK and open to hybrid and on-site work, which fits the job's London hybrid location.
Watch-outs
- Candidate's seniority is mid-level, while the job requires senior level, indicating a potential gap in leadership and mentoring experience.
- Candidate's experience is primarily with GCP, whereas the job requires AWS and tools like Snowflake and Kafka, which are not evidenced in candidate's profile.
- Job requires 5 years relevant experience; candidate has about 2 years in data engineering roles, which may be insufficient.
- The job is hybrid in London, while candidate is based in Wolverhampton; commuting or relocation willingness is not explicitly stated, reducing practical fit.
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