Senior Data Engineer | Digital Analytics | Python | Git | SQL| Azure | AWS | GCP | Redshift | Snowflake

Title: Lead Data Engineer

Company: Ecommerce

Location: London - Hybrid

Salary: Up to £100,000

The Role:

You will be working for one of most recognised company in the retail industry. You need to display a deep passion for Data Engineering and someone that has a proven track record of adapting to new environments rapidly.

Senior Data Engineer | Digital Analytics | Python | Git | SQL| Azure | AWS | GCP | Redshift | Snowflake

Responsibilities:

• Engineering and optimising Machine Learning and process algorithms for data ingestion.
• Implementing and integrating large data models into robust Data Pipelines.
• Innovating the infrastructure eco-system, CI/CD, and product optimisation.
• Owning technical solutions for the Data Lake.
• Providing high standard production support for all issues.
• Experience with Digital Analytics software and platforms

Requirements:

• Bachelors or Masters in Computer Science, engineering, or related technical field.
• Professional experience in building pipelines.
• Proficient programmer in Python.
• Exposure to distributed systems such as Lambdas, YAML, & Bash
• DevOps Exposure.
• Cloud infrastructure, ideally GCP, Open to Azure / AWS
• Experience with data analytic is a bonus ( Fivetran, Dataform/DBT OR Snowplow)

Senior Data Engineer | Digital Analytics | Python | Git | SQL| Azure | AWS | GCP | Redshift | Snowflake