Lead Data Engineer - remote working currently

Harnham ,
London, Greater London
Job Type: Full-time
Salary: £90,000 per annum

Overview

Lead Data Engineer - remote working London - currently remote Up to £110,000 (depending on experience) I am looking for a Lead Data Engineer to join this young e-commerce business based in London. The company are trying to solve the issue of food waste within the UK, and are doing this through offering a unique product powered by data. As the Lead Data Engineer, you will manage the data engineering team with the view to become a Head of Data Engineering within 12 months. THE COMPANY: This company were formed in 2012 and have since grown to 200 employees. They received their last amount of VC funding in 2015 as they are profitable, meaning they are well set up to grow organically and develop the business. They have two main data challenges to solve through advanced data analytics - one is focused on supply chain and logistics and the other is focused on predictive analytics and customer experience. They have built a data infrastructure in Python, AWS, Kafka/Kinesis, Snowplow, Airflow etc. THE ROLE: As the Lead Data Engineer, you will: Have an 80/20 split in favour of management responsibilities - you will manage the data engineering team. Engage with all stakeholders and customers of the existing data platform in the company, helping the business understand how to service the platform and make data driven decisions Take control of the career development of the data engineering team, putting a development programme in place. Remain technically hands-on with data engineering, running code reviews and ensuring coding quality (Python, AWS, Kafka/Kinesis, Snowplow, Airflow). YOUR SKILLS AND EXPERIENCE: Experience working with large scale data, in either AWS or GCP. Have experience mentoring or managing a team of data engineers. Have experience developing the careers of your employees, helping them to achieve career goals and targets. Have extensive experience programming in Python Have expertise in a wide range of big data tools (kafka/spark etc). HOW TO APPLY: Please register your interest by sending you CV to Joshua Carter via the apply link on this page