2 of 2 Permanent Pricing Data Jobs in Lancashire

TLA, we're proud to be consumer champions in the automotive space. We're constantly exploring smarter ways to connect people with the right cars - and that's where data engineering plays a key role. You'll join a focused data team of 4 professionals (2 Data Scientists, 1 BI Developer, and yourself as Data Engineer … working collaboratively to deliver high-impact data solutions. As part of the team, you'll create data pipelines to extract diverse datasets from vehicle stock volumes to customer reviews and offers data in a timely, robust and efficient manner. We understand that great data forms the backbone of great data analysis, and as such the … data engineer is crucial to the success of the data department overall. TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the role you will be More ❯

a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone. Get to Know Our Team The Data department, based in Bangkok, oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company … through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture … of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when More ❯