Job Description: Reporting to one of our Lead Data & Analytics Engineers , our Data Engineer will work as part of a multi-disciplinary, agile, data delivery team focused on the delivery of innovative, robust, and efficient data solutions to complex business problems.
You'll work alongside a team of passionate data professionals including other data and analytics engineers, test engineers, data scientists and data visualisation specialists.
Our priority is the delivery of high-quality, well-modelled, clean, and trustworthy data assets for use across the business.
Our data teams also work hard to support all our data assets and ensure the business realise maximum benefit and return on investment from them.
As our Data Engineer , you'll have access to a wide range of benefits including: Remote or Hybrid working Annual pay reviews Colleague discounts on Jet2holidays and Jet2.com flights At Jet2.com and Jet2holidays we're working together to deliver an amazing journey, literally!
We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights.
We couldn't do it without our wonderful people.
What you'll be doing: Data Delivery : You'll be responsible for delivery of complex data solutions including the ingest of data from a wide variety of data sources into our analytics platforms (typically cloud-based but some work on our on-premise data analytics platforms), transformation and cleansing of data and modelling of data into our enterprise data warehouse for consumption by both technical users and non-technical business users via centrally developed reporting and visualisation or self-service platforms.
Data Culture : You'll drive a data-first culture both within the data team and across the business by supporting continual learning and development within your team and data enablement activity across the wider business.
You'll demonstrate a passion for data and encourage a similar passion within your team.
As part of a data-first culture you may also be involved in supporting production data assets (not on a first-line basis).
What you'll have: Able to demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels.
Experienced working in an Agile delivery environment, ideally using Scrum and\or Kanban.
Able to demonstrate strong proficiency in at least some of the following technical areas (cross-training and upskilling supported for the right individual where necessary): SQL (mandatory): A strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms.
Cloud Platforms (highly desirable) : Experience working with key services on either GCP (preferred), AWS or Azure.
Key services include cloud storage, containerisation, event-driven services, orchestration, cloud functions and basic security/user management.
Data Warehousing (highly desirable): Experience working on a data warehouse solution irrespective of underlying technology.
Experience using cloud data warehouse technology would also be beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift or Azure Synapse.
Data Pipeline (highly desirable): Demonstrable experience working with data from a wide variety of data sources including different database platforms, flat files, API's and event-driven data feeds.
Experience building complex data transformations ideally using dbt.
Experience working with large data volumes, near real-time or event-driven data would be an advantage.
Knowledge of programming languages such as Python would be beneficial.
Additional Desirable Technical and other skills: CI\CD & Automation (desirable): Any experience developing or supporting data CI\CD pipelines regardless of tooling would be beneficial.
We use Microsoft Azure DevOps to run most of our CI\CD pipelines.
We also rely heavily on Infrastructure as Code for cloud infrastructure deployment so any experience with technology such as Terraform would be beneficial in this respect.
Data Visualisation (desirable): Although we have dedicated data visualisation specialists within the team, any knowledge of, or experience with, data visualisation platforms such as Tableau (preferred), Power BI, Looker or Quicksight would be beneficial.
Join us as we redefine travel experiences and create memories for millions of passengers.
At Jet2.com and Jet2holidays , your potential has no limits.
Apply today and let your career take flight!
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