Senior Data EngineerCreated
Last refreshed: 13:59:40
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PP
832/1000
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 cloud-focused data engineer with ~11 years' software/data engineering experience. Strong hands-on experience building ETL/ELT pipelines, Big Data processing with Spark/PySpark, cloud data platforms (AWS, Databricks, BigQuery), and data warehouse/analytics implementations. Multiple cloud and data platform certifications (AWS, MongoDB, BigQuery).
Work History
Digital Solution Specialist at Infosys
Apr 2022 to present
Technology Lead at Infosys
Jan 2019 to May 2022
Software Engineer at IBS Software
Apr 2017 to Jan 2019
Software Engineer at Kran Consulting Pvt. Ltd
Jan 2015 to Mar 2017
Development and maintenance of software
Education
- University College of Engineering, Kariavattom, Trivandrum, 2014
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 in standardised skills.
- AirflowRole requires Airflow. Candidate lists Airflow in tools.
- AWSRole requires AWS. Candidate lists AWS as a skill and holds AWS Solutions Architect Associate certification.
- Data pipeline orchestrationRole requires pipeline orchestration. Candidate built ETL/ELT pipelines and lists Airflow.
- SQLNice to haveRole requires SQL. Candidate lists SQL in standardised skills.
Gaps(0)
No proven gaps
For your judgment(11)
- 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 states no level or advanced usage.
- dbtRole requires dbt. Candidate profile never mentions dbt, but the career is in data engineering.
- Data modelingRole requires data modeling. Candidate cites warehouse and analytics implementations but names no modeling work.
Reasoning
Why it fits
- Candidate has strong hands-on experience with cloud data platforms and ETL/ELT pipelines relevant to the job.
- Candidate holds multiple relevant certifications including AWS and BigQuery, aligning with job requirements.
- Candidate's seniority level matches the senior data engineer role well.
- Candidate is located in London and open to hybrid work, matching the job's location and work mode.
- Candidate has experience with Airflow and AWS, key tools mentioned in the job description.
Watch-outs
- Candidate lacks explicit experience with dbt, Kafka, and Snowflake, which are important for this role.
- Job requires mentoring mid-level engineers and collaboration on credit risk models, which is not clearly evidenced in candidate's history.
- Candidate's practical fit score is reduced due to hybrid work mode requiring onsite presence two days a week, which may be a partial mismatch with candidate's defaulted work mode preferences.
- Some secondary skills and tools like Terraform and data quality monitoring tools are not demonstrated in candidate's profile.
Reach Prelief
Outreach:
Prelief PushkaranDigital Solution Specialist at Infosys
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