Senior Data EngineerCreated
765/1000
5 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Data Engineer at Qodea
Jan 2025 to present
Designing, building and optimising scalable and reliable data solutions on Google Cloud Platform (GCP); building data pipelines, implementing modern data warehousing solutions, and ensuring data quality to enable data-driven decision-making.
Analyst (Data Engineering) at Cervello
Sept 2022 to Oct 2024
Instructor at CodeFirstGirls
May 2022 to Aug 2023
Taught Data and SQL, Web Development and Python to learners entering tech roles.
Data Scientist at Vesuvio Labs
Feb 2021 to Aug 2022
Research Assistant in Global Challenge Simulations at Brunel University London
Jul 2021 to Nov 2021
Contributed to large-scale agent-based models and research; supported scientists and researchers on modelling projects.
Data Manager at Brunel University London
Sept 2019 to Aug 2020
Managed the data repository for a research team supporting data science and statistical modelling activities.
Education
- Brunel University London, 2020
Match Information
Match factors
Matched(6)
- SeniorityRole: senior · Candidate: mid
- LocationRole: London, Shoreditch · Candidate: London, England, United Kingdom (same area)
- Work modeRole: hybrid · Candidate accepts: remote, hybrid, on-site
- PythonRole needs Python; candidate lists strong Python skills and taught Python at CodeFirstGirls.
- Data modelingRole needs data modelling; candidate lists data modelling as a standardised skill and has data warehousing work.
- SQLNice to haveRole needs SQL; candidate lists SQL as a skill and taught SQL at CodeFirstGirls.
Gaps(0)
No proven gaps
For your judgment(13)
- Employment typeRole: full-time · Candidate: not stated
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- Advanced SQLRole needs Advanced SQL; candidate has strong SQL skills and taught SQL, but no depth level is stated.
- dbtRole needs dbt; candidate profile never mentions dbt, though it covers GCP data warehousing.
- AirflowRole needs Airflow; candidate profile names no orchestration tool, only building GCP data pipelines.
Reasoning
Why it fits
- The candidate currently works as a Data Engineer with relevant experience in building data pipelines and data warehousing on cloud platforms.
- Strong skills in Python, SQL, and data modeling align well with the job requirements.
- Experience with Google Cloud Platform and Databricks shows familiarity with modern cloud data tools, supporting transition to AWS and related tools.
- The candidate has mentoring experience from teaching roles, which supports the senior role's mentoring expectations.
- Located in London and open to hybrid and on-site work, matching the job's location and work mode requirements.
Watch-outs
- The job requires senior-level experience with at least 5 years relevant, while the candidate is mid-level with about 4 years, indicating a seniority gap.
- The job demands specific tools and skills like AWS, Airflow, dbt, Kafka, and Snowflake, which the candidate has limited or no direct experience with.
- The job focuses on batch and streaming data pipelines and orchestration on AWS, whereas the candidate's experience is primarily on GCP and Databricks, showing a platform mismatch.
- The job's salary range starts at £85,000, but the candidate's current compensation is unknown, so fit on pay cannot be confirmed.
Reach Samuel
Tick a way of sending, then use its button above.