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
Data Engineer based in London with a focus on building reliable ETL/ELT pipelines, workflow orchestration (Airflow), Spark-based processing, data modelling/warehousing and data quality. AWS-certified with practical experience and public activity around data platform best practices.
Work History
Data Engineer at MVR IT LIMITED
present
Data engineering work focused on building and maintaining ETL/ELT pipelines, orchestration (Apache Airflow), data quality and warehouse modelling. Evidence: current LinkedIn position and recent activity/posts about Airflow, Spark, dbt, ETL and data platforms.
Education
- BPP University, 2023
Match Information
Match factors
1 to check
Matched(11)
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole needs Python; candidate lists Python as a standardised skill and holds a HackerRank Python programming certificate.
- dbtRole needs dbt; candidate lists dbt as a standardised skill and mentions it in recent posts.
- AirflowRole needs Airflow; candidate lists Apache Airflow as a skill and uses it in the current MVR IT role.
- AWSRole needs AWS; candidate holds AWS Certified Cloud Practitioner and describes practical AWS experience, at entry level.
- Data pipeline orchestrationRole needs pipeline orchestration; candidate builds and maintains orchestrated pipelines with Airflow in the current role.
- Data modelingRole needs data modeling; candidate lists data modeling as a skill and warehouse modelling in the current role.
- SQLNice to haveRole needs SQL as a tool; candidate lists SQL among skills, though it is absent from the tools list.
- KafkaNice to haveRole needs Kafka; candidate lists Kafka in both skills and tools.
- SnowflakeNice to haveRole needs Snowflake; candidate lists Snowflake in tools.
Gaps(0)
No proven gaps
For your judgment(8)
- SeniorityRole: senior · Candidate: not stated
- Employment typeRole: full-time · Candidate accepts: unknown
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole needs advanced SQL; candidate lists SQL as a skill with no evidence of advanced-level depth.
- TerraformNice to haveRole needs Terraform; candidate's skills, tools and certifications never mention it, but the career is data engineering.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer with relevant experience in ETL/ELT pipelines and Airflow orchestration.
- The candidate has strong skills in Python, SQL, dbt, Apache Airflow, and Kafka, matching core job requirements.
- The candidate holds an AWS Certified Cloud Practitioner certification, supporting cloud-related job tasks.
- The candidate is located in London and is open to hybrid work modes, aligning with the job's location and work mode.
- The candidate has demonstrated recent activity and knowledge in data platform best practices relevant to the job.
Watch-outs
- The job requires senior-level experience, while the candidate's seniority level is not explicitly stated and may be slightly below senior.
- The job specifies hybrid work with 2 days a week in Shoreditch, which may be less flexible than the candidate's broader remote/hybrid/on-site preferences.
- The candidate's experience with some secondary tools like Terraform and Great Expectations is not evident, which are mentioned in the job description.
- The candidate's years of relevant experience are not clearly stated, while the job prefers around 5 years, creating some uncertainty about experience depth.
Reach Shabukarisadiq
Outreach:
Shabukarisadiq SyedData Engineer at MVR IT LIMITED
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