Data Engineering Lead: Energy Trading and Supply

London  ‐ Onsite
This project has been archived and is not accepting more applications.
Browse open projects on our job board.

Description

A World Leading Energy Company has an exciting opportunity for a Lead Data Engineer to tackle and lead one of the most complex data engineer projects our client has.

Overview:
Takes the lead in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identify latest development, testing and deployment techniques to quickly deploy new releases to eg deploy new data pipelines and add data sources.

About the role:

* Take direct reports, when applicable, through Agile Framework and its respective tools.
* Change behaviour of stakeholders based on analyses/outcomes.
* Jointly works together with the Solution and Data Architect to design the target data strategy and the next generation big data platform to support the digital marketing platform.
* Conducts analyses to solve uncharted information and data queries/problems. Leads complex data engineering projects that require the most advanced data analytics.
* Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing.
* Works independently under minimal managerial supervision.
* Working directly with Front Office trading team, across short-term and portfolio trading - LNG

Skills and experience:

* Mathematical knowledge required (numpy, scipy, interpolation)
* Trading knowledge of gas markets desirable
* MS Azure - Mastery
* Python - Mastery
* Software Engineering Management - Skill
* Software Design - Skill
* Web App service for containers
* Blob storage
* Redis Cache
Start date
ASAP
Duration
6 months initially
From
Eaglecliff Recruitment
Published at
22.11.2020
Project ID:
2003300
Contract type
Freelance
To apply to this project you must log in.
Register