Senior Data EngineerCreated
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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 scalable ETL/ELT pipelines and optimising Databricks/Spark jobs. Strong hands-on with PySpark, Kafka, Airflow, Delta Lake and cloud (GCP/AWS); Google Professional Data Engineer certified. Recent role at NBCUniversal (Senior Data Engineer).
Work History
Senior Data Engineer at NBCUniversal
Jan 2025 to present
Education
- Osmania University, 2020
- Osmania University, 2017
Match Information
Match factors
2 to check
Matched(10)
- 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.
- AirflowRole requires Airflow; candidate lists Apache Airflow as a tool.
- AWSRole requires AWS; candidate lists AWS as a tool and names it in the summary.
- Data pipeline orchestrationRole requires pipeline orchestration; candidate builds ETL/ELT pipelines and uses Apache Airflow.
- Data modelingRole requires data modeling; candidate lists Data modelling as a standardised skill.
- SQLNice to haveRole requires SQL; candidate lists SQL as a skill.
- KafkaNice to haveRole requires Kafka; candidate lists Apache Kafka as a tool and stream processing as a skill.
Gaps(0)
No proven gaps
For your judgment(9)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole requires Advanced SQL; candidate lists SQL as a skill but gives no evidence of advanced level.
- dbtRole requires dbt; candidate profile does not mention dbt, but the tool list is not clearly exhaustive.
- SnowflakeNice to haveRole requires Snowflake; candidate lists Databricks and Delta Lake and never mentions Snowflake.
Reasoning
Why it fits
- The candidate currently holds a Senior Data Engineer role matching the job title and seniority.
- Strong experience with Python, SQL, Airflow, Kafka, and AWS aligns well with the job's core skills and tools.
- Certified Google Professional Data Engineer, demonstrating relevant credentials and expertise.
- Located in London and open to hybrid and on-site work, matching the job's location and work mode requirements.
Watch-outs
- The candidate's recent experience is in media and telecommunications, while the job is in technology and staffing, which may require some industry adjustment.
- The job requires specific experience with dbt and Snowflake, which the candidate does not explicitly list.
- The job emphasizes mentoring mid-level engineers and improving data quality observability, which is not clearly evidenced in the candidate's profile.
- The job's hybrid work mode requires 2 days a week on-site in Shoreditch, which may be a minor practical adjustment despite the candidate's London location.
Reach kiran
Outreach:
kiran kumar kalliSenior Data Engineer at NBCUniversal
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