March 17, 2024
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London, England, United Kingdom, United Kingdom
March 17, 2024
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Job Description
Data Engineering | Data Science | Machine Learning | Airflow | AWS | GCP | SQL | Terraform | DBT
Gravitas has partnered with a scaling Data & Analytics Consultancy that specialises in building Data Science and Machine Learning products for the retail sector, globally.
In this role you will initially focus on scaling their demand forecast system and a delivery planning optimisation system. This will require the migration of their current on-premise architecture to a GCP environment and the refactoring of existing pipelines with scalability and reliability in mind. In addition to this, their a number of similar and new projects lines up with other clients to work on.
Job title - Senior Data Engineer
Location - London Bridge (Hybrid working)
Salary - £70,000 - £100,000 per annum (Flexible depending on experience)
Skills / Experience
We will be meeting with the hiring manager this week to discuss suitable candidates and confirm a shortlist for interview.
If you're interested in finding out more about the opportunity, please apply and the relevant consultant will be in touch to discuss the vacancy in more detail.
Data Engineering | Data Science | Machine Learning | Airflow | AWS | GCP | SQL | Terraform | DBT
Gravitas has partnered with a scaling Data & Analytics Consultancy that specialises in building Data Science and Machine Learning products for the retail sector, globally.
In this role you will initially focus on scaling their demand forecast system and a delivery planning optimisation system. This will require the migration of their current on-premise architecture to a GCP environment and the refactoring of existing pipelines with scalability and reliability in mind. In addition to this, their a number of similar and new projects lines up with other clients to work on.
Job title - Senior Data Engineer
Location - London Bridge (Hybrid working)
Salary - £70,000 - £100,000 per annum (Flexible depending on experience)
Skills / Experience
- Great at identifying problems and applying the right tech / tools to solve them
- Minimum of 3 years experience working in a Data Engineering / Science position
- Familiar with enterprise B2B systems
- Proficient with SQL
- Python
- Airflow
- Cloud experience (GCP / AWS)
- Containerization (Docker / Kubernetes)
We will be meeting with the hiring manager this week to discuss suitable candidates and confirm a shortlist for interview.
If you're interested in finding out more about the opportunity, please apply and the relevant consultant will be in touch to discuss the vacancy in more detail.
