Job Summary
0 - 50 years
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
26 Jun 2021
Ibs Group
Posted on: 27 Apr 2021
Job Description

Project Description

For 22 of our 25 years, Soho House has been a traditional hospitality company, with tech as the last thing on the agenda and a number of partnerships with external agencies. However as we try to scale our offering, that outlook has reversed and we are creating a long-term digital strategy with huge investment from the founder and investors.
This means building a team with a tech-first culture, rebuilding our backend services from the ground up on cutting edge tech, removing external partnerships and working on an internal cultural shift from traditional enterprise to agile and product-driven.

As an Data Engineer, you will be joining a brand new team dedicated to working with all the Data produced by Soho House.
You'll be working with a range of Data-sets old and new, rich and sparse. Working with the Data produced by the systems that keep Soho House ticking, exploring existing Data sets, building dashboards & reports, working alongside our Data engineers to clean and transform Data sets.


Develop, construct, test and maintain architectures
Align architecture with business requirements
Data acquisition, Develop Data set processes, Analyze and organize raw Data
Use programming language and tools to build algorithms and prototypes
Build Data systems and pipelines
Identify ways to improve Data reliability, efficiency and quality
Conduct research for industry and business questions
Use large Data sets to address business issues
Deploy sophisticated analytics programs, machine learning and statistical methods
Prepare Data for predictive and prescriptive modelling
Find hidden patterns using Data
Use Data to discover tasks that can be automated
Deliver updates to stakeholders based on analytics
Good in Data filtering and Data optimization techniques


Must have
Technical expertise with Data models, Data mining, and segmentation techniques, SQL Database design, Python

Database systems (SQL and NoSQL): SQL
Data warehousing: Google Big Query along with Metabase ,Salesforce,
Tableau & Radish
ETL tools: Big Query
Data API: Json

programming language: Python
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