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Senior Data Engineer

2 months ago


Leeds, Leeds, United Kingdom Jet2 Full time

At Jet2 and Jet2holidays, we're dedicated to crafting exceptional travel experiences for our customers. Our commitment to a 'Customer First' ethos drives us to create unforgettable package holidays and flights. We believe our incredible team is the key to our success.

As our new Senior Data Engineer, you'll play a vital role in helping us achieve our goals. You'll be part of a dynamic, agile data delivery team focused on developing innovative, robust, and efficient data solutions for complex business challenges. You'll collaborate with passionate data professionals, including other data and analytics engineers, test engineers, data scientists, and data visualization specialists.

What's in it for you?

  • Enjoy the flexibility of remote working arrangements.
  • Benefit from annual pay reviews to recognize your contributions.
  • Participate in a generous discretionary profit share scheme, sharing in our success.

Your Responsibilities:

  • Lead the delivery of complex data solutions, including ingesting data from diverse sources into our analytics platforms (primarily cloud-based but with some on-premise data analytics platforms).
  • Foster a data-driven culture within the data team and across the organization by supporting continuous learning and development initiatives for your team members and promoting data enablement activities throughout the company.
  • Demonstrate your passion for data and inspire similar enthusiasm within your team. As part of a data-first culture, you may also contribute to supporting production data assets (not on a first-line basis).
  • Cleanse and model data into our enterprise data warehouse, making it accessible and valuable for both technical users and non-technical business users.

Your Qualifications:

  • Possess a strong understanding of SQL and be proficient in writing complex SQL queries.
  • Ideally, have experience in the design and data modeling stages of data warehouse projects, comfortable with conceptual, logical, and physical data modeling techniques, as well as dimensional modeling techniques.
  • Experience working with cloud data warehouse technology is beneficial - Snowflake (preferred), Google BigQuery, AWS Redshift, or Azure Synapse.
  • Demonstrate experience handling data from various sources, including different database platforms, flat files, APIs, and event-driven data feeds.