Data Engineer

Do you want to build scalable solutions that provide business critical insights by working closely with our Data Scientists?  

We are looking for a Data Engineer (12 month maternity cover) to join our Data Science and Analytics team. Working with Data Scientists and Visualisation Developers, you will be the technical expert responsible for building and maintaining an effective data analytics infrastructure, to enable the team delivering meaningful results in their machine learning algorithms, data visualisation products, and timely, data-driven insights. 


You will:


Provide our data scientists and analytics professionals with the infrastructure to support their work
Source data and investigate new data sources (flat files, databases, APIs, websites)
partner with members of the Data Science team and enterprise ETL developers to identify, collect and transform data for research and analysis 
Identify and diagnose data inconsistencies and errors
Advise on best practice in data infrastructure technologies to host analytics-friendly data


To be successful in this role you’ll have: 

Fluency in Python, with experience using the NumPy/Pandas stack and Python ML tools
Excellent SQL skills and experience with PostgreSQL or other RDBMS
Proven experience composing and maintaining AWS technologies to support data infrastructure and analytics automation
Experience working with Snowflake, or other cloud-based data warehouses
Experience developing, testing, debugging and documenting programs and scripts
Experience manipulating and joining both structured and unstructured data in different formats (e.g. CSV, JSON, XML) from a variety of sources (e.g. FTP server, REST API)
Familiarity with Unix-based operating systems and command-line tools
Experience designing efficient and robust ETL/ELT workflows, schedulers, and event-based triggers 
A solid grasp of Agile methodology
Comfortable using Git for version control, with experience building Continuous Integration/Deployment pipelines
Experience using containerization technologies like Docker and Kubernetes as part of data science and data engineering workflows

A relevant qualification in Statistics, Economics, or an equivalent quantitative field
As a key support for the business, you will be comfortable working alone or as part of a wider team, and able to articulate your ideas and solutions to technical and non-technical audiences alike.

It goes without saying that you’ll have a logical mindset and be able to proactively resolve issues when they arise. Strong technical knowledge of Data Science and comfort with utilizing team collaboration software (issue tracking, project management, document sharing, etc.) will be highly valuable.


If this sounds like you, we would love to find out more, please apply with a CV and Covering Letter by midnight on the 8th of July. 

What you can expect from us:
Our employees are the heart of our business. We have a range of benefits to reflect our commitment to our employees, some of which are:
•    25 days paid holiday entitlement in year one, plus bank holidays
•    Medical cover
•    Life assurance
•    Cycle to Work scheme
•    Discounted gym membership
•    Personal Learning Allowance
•    Generous pension scheme
•    Summer working hours (role dependent) 
•    Volunteering policy and charity matching
•    Employee Assistance programme
•    Mentoring programme
•    Extended Parental Leave policy 
•    60% Discount on Company books
•    Each site has trained mental health first aiders 
•    We plant a tree for every new employee to our business

Our creativity is inspired by different perspectives, so we want our culture to be one of belonging, where everyone feels welcome and where differences are celebrated.

We partner with The Book Trade Charity, who provide financial assistance for people looking to get into the publishing industry; you can find more information and talk directly here:

Please note, we are not able to accept agency CVs for this role. Any CVs sent speculatively will not be eligible for a fee.


Company: The Random House Group Limited 

Country: United Kingdom 

State/Region: London 

City: London 

Postal Code: SW1V 2SA 

Job ID: 86502

[[customQuickApply]]86502The Random House Group Limited 


London, LND, GB, SW1V 2SA

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