Lead Data & Analytics Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Lead Data & Analytics Engineer, based at Holiday House in Leeds City Centre

We have an exciting opportunity for an experienced Lead Data & Analytics Engineer to join our central data team at Jet2.com and Jet2Holidays as we continue our journey towards becoming a fully data-driven organisation and embed a data-first culture across our business.

Reporting to one of our Data & Analytics Engineering Managers, in this role you will be responsible for acting in a lead capacity for data and analytics engineering within one of our agile, multi-disciplinary data delivery teams.

As a wider data team, 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.

What will you do in the role?

• Line Management, Recruitment & Team Development: You will manage a number of senior, mid and junior level data and analytics engineers working as part of a multi-disciplinary data delivery team. You will also be involved in the recruitment of data and analytics engineers within your team in addition to working alongside your manager to ensure continual learning and development across the engineers within your team.
• Data Delivery: You will 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 there may be a requirement for 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 such as our data science and data visualisation teams and non-technical business users via centrally developed reporting and visualisation or self-service platforms. As a Lead Data & Analytics Engineer you will also support more junior members of your team to ensure the team goals are effectively achieved.
• Data Culture: You will drive a data-first culture both within the data team and across the business by supporting continual learning and development across you teams and data enablement activity across the wider business. You will demonstrate a passion for data and encourage a similar passion across 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).
• Solution Design: You will work alongside solution and data architects to help define innovative, robust and efficient solutions to complex business problems adhering to common standards and architectural best practices.

Requirements:

• Communication: You should demonstrate strong written and verbal communication skills and be comfortable communicating and building relationships with stakeholders at all levels.
• Management: This role would be suitable for a highly experience data and analytics engineer either with or without prior management experience but with a desire to develop your management skills and lead a team of data and analytics engineers. This is still very much a hands-on delivery-focused role. Any prior experience managing multi-disciplinary, off-site, and multi-cultural teams would be beneficial.
• Agile Delivery: You should have experience working in an Agile delivery environment, ideally using Scrum and\\or Kanban. Any experience of scaled agile frameworks such as SAFe or DAD would also be beneficial.
• Technical: You should 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): You should be able to demonstrate a strong understanding of SQL and be comfortable reading and writing complex SQL queries ideally across multiple platforms.
• Cloud Platforms (mandatory): You should have 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): You should have experience working on a medium to large-scale data warehouse solution irrespective of underlying technology. Ideally you will have experience working on the design and data modelling stages of a data warehouse projects and be comfortable with conceptual, logical and physical data modelling techniques as well as dimensional modelling techniques. 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.

What can we offer you?

We have been recognised as one of the Top 50 Best Places to Work in the UK on Glassdoor and offer our valued colleagues a range of benefits including: -

• Hybrid working – we’re in the office on Tuesdays and Wednesdays
• Competitive salary, with annual pay review
• Contributory pension scheme
• 34 days holiday entitlement per annum (including Bank Holidays)
• 3 x salary life assurance
• Generous Discretionary Profit Share Scheme
• Colleague discounts on Jet2holidays and Jet2.com holidays and flights
• Cycle to Work Scheme
• Access to Mental Health First Aiders
• Many retail discounts on – travel and leisure, health, and wellbeing, eating out, shopping and lifestyle

We offer an excellent remuneration package with fantastic opportunities for progression in a growing business.

This is a great opportunity to be part of an exciting, forward-thinking business. We operate scheduled leisure flights to holiday destinations in the Mediterranean, the Canary Islands and to European Leisure Cities from our 10 UK bases.

Help us to send our all-important customers on holiday with Jet2.com and Jet2holidays!!