Senior Data EngineerCreated
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3 to checkRole
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 ~17 years' experience in designing ETL/ELT pipelines, data lakes/warehouses and Azure data platform implementations (ADF, Synapse, ADLS). Microsoft-certified data engineer with strong SQL, PySpark and data modelling background; extensive experience at Cognizant supporting enterprise analytics.
Work History
Technology Specialist at Cognizant
Nov 2013 to present
Senior Software Engineer at CitiusTech
Jan 2011 to Oct 2013
Business Intelligence Development
Software Engineer at Zenith Infotech
Jan 2010 to Dec 2010
Database Developer
Education
- Shri Vaishnav Institute of Management, Indore, 2007
Match Information
Match factors
3 to check
Matched(8)
- 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 alongside PySpark.
- Advanced SQLRole requires Advanced SQL; candidate has strong SQL and T-SQL skills, though depth is not quantified.
- Data pipeline orchestrationRole requires pipeline orchestration; candidate built ETL/ELT pipelines on Azure Data Factory.
- Data modelingRole requires data modeling; candidate cites a data modelling background and data warehousing skills.
- SQLNice to haveRole requires SQL; candidate lists SQL and T-SQL as core skills.
Gaps(0)
No proven gaps
For your judgment(11)
- Employment typeRole: full-time · Candidate accepts: unknown
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- dbtRole requires dbt; dbt is not mentioned anywhere in the candidate profile.
- AirflowRole requires Airflow; Airflow is not mentioned, candidate pipelines are on Azure Data Factory.
- AWSRole requires AWS; candidate profile shows Azure platform work only, with no AWS services listed.
Reasoning
Why it fits
- The candidate currently holds the title Senior Data Engineer, matching the job title exactly.
- Strong experience with Python and advanced SQL, core skills required by the job.
- Extensive background in designing ETL/ELT pipelines and data warehousing, relevant to the job's data pipeline focus.
- Located in London and open to hybrid work modes, aligning with the job's location and work mode requirements.
- Senior level experience with 17 years in data engineering roles, fitting the seniority level of the job.
Watch-outs
- The candidate's primary experience is with Azure data platform, while the job requires AWS and related tools like Airflow and Snowflake, indicating a platform mismatch.
- The job requires specific tools like dbt, Kafka, and Terraform which the candidate has no explicit experience with.
- The job is in the technology and internet sector, while the candidate's experience is primarily in IT services and consulting, a related but distinct industry.
- The job requires hybrid work specifically in Shoreditch, and while the candidate is in London and open to hybrid, exact commuting feasibility is uncertain, lowering practical fit.
Reach Vaibhav
Outreach:
Vaibhav TiwariSenior Data Engineer at Cognizant
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