Senior Data EngineerCreated
765/1000
2 to checkRole
Role Name
Company
Location(s)
Work Mode
Employment Type
Pay
Key Requirements
Skills
Tools
Candidate
Summary
Work History
Senior Data Engineer at Valeo Foods Group
Sept 2024 to present
Senior Data Engineer working on data platform and transformation initiatives (Azure-based).
Senior Data Platform Engineer at Greggs
Oct 2023 to Sept 2024
Data Platform lead for Procurement, Supply Chain Long-Term Planning, Forecast & Replenishment. Designed and developed Azure data pipelines, API integrations, Terraform work for Azure CSP migration, mentoring and team leadership.
Data Platform Developer at Greggs
Sept 2021 to Oct 2023
Built data lakehouse and Azure data-warehousing solutions: ADF pipelines, Databricks, ADLS Gen2, Azure SQL; applied Kimball dimensional modelling, CI/CD and BAU support.
Technology Graduate Intern at IN4.0 Group
Sept 2020 to Dec 2020
Developed load-balanced Flask web app on AWS EC2, AWS architecture modelling, and a predictive-maintenance ML prototype; gained cloud (AWS) and web development experience.
President at Lancaster University Squash Club
Mar 2019 to Jun 2020
Club leadership: growth, sponsorships, events and operations.
Education
- Lancaster University, 2020
Match Information
Match factors
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 needs Python; candidate lists Python in standardised skills.
- Advanced SQLRole needs advanced SQL; candidate lists T-SQL and Azure SQL work, but depth is not stated.
- AWSRole needs AWS; candidate built AWS EC2 apps in 2020, holds AWS Cloud Practitioner, but main experience is Azure.
- Data pipeline orchestrationRole needs pipeline orchestration; candidate designed Azure pipelines and orchestration with ADF and Databricks.
- Data modelingRole needs data modeling; candidate applied Kimball dimensional modelling at Greggs.
- SQLNice to haveRole needs SQL; candidate uses T-SQL and Azure SQL Database.
- TerraformNice to haveRole needs Terraform; candidate lists Terraform and led Terraform work for Azure CSP migration.
Gaps(0)
No proven gaps
For your judgment(9)
- Employment typeRole: full-time · Candidate accepts: unknown
- PayRole: £85,000–£100,000 · Candidate: pay expectation not stated
- dbtRole needs dbt; candidate profile never mentions dbt, but the career is in the same data engineering field.
- AirflowRole needs Airflow; candidate profile never mentions Airflow, but uses ADF pipeline orchestration.
- KafkaNice to haveRole needs Kafka; candidate profile never mentions Kafka or event streaming.
Reasoning
Why it fits
- The candidate currently holds a Senior Data Engineer role matching the job title and responsibilities closely.
- Strong experience with Python, SQL, and data pipeline orchestration aligns well with job requirements.
- Demonstrated mentoring and leadership experience fits the seniority level expected.
- Candidate has relevant cloud platform experience (Azure and AWS) and infrastructure as code skills (Terraform).
- Located in London, candidate can reasonably accommodate the hybrid work mode required.
Watch-outs
- The candidate's primary experience is with Azure, while the job focuses on AWS and related tools like Airflow and dbt, indicating a partial skills mismatch.
- The job requires specific tools like Kafka, Snowflake, and dbt which the candidate has limited or no direct experience with.
- The job is in the technology and internet sector, whereas the candidate's recent experience is in food manufacturing and retail, which may reduce domain relevance.
- The job requires hybrid work in Shoreditch specifically; while the candidate is in London, exact commuting feasibility is uncertain and hybrid work preference is defaulted, not explicitly stated.
Reach Ben
Tick a way of sending, then use its button above.