Job Description:

• Remote or Hybrid working
• Annual pay reviews
• Colleague discounts onJet2holidaysandJet2.comflights

• 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).

• 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.

• 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.