Data Engineer - Manchester

• Work with an established but growing Data Science team
• Based at new offices at Manchester Airport above our Train/ Tram station
• Data Science is the driving force behind business decisions and strategy:– make a real difference
• £35,448 + potentialy 10% increase in salary in April, pension + free parking and 25% off train travel to work + extensive other corporate benefits

Let us introduce ourselves and tell you why we’re a great place to work:

https://youtu.be/ustPXwN12C8

The Company:

MAG is the country’s largest airport group. We own Manchester, Stansted and East Midlands Airports as well as having MAG USA, a large Airport Services business based in Chicago. MAG-O is our digital business, created to take the Group on the next leg of its digital journey. Utilising advanced MI, digital platforms and new and emerging technologies, this is a fast-moving, agile engine house of ideas and innovation. We focus on new and exciting online and physical products to service our passengers at every step of their physical and online journey. We have also recently moved into an exciting phase of expansion becoming an airport-centric travel company, defining how airports increase their non-aero revenues. delivering our class leading e-commerce services to clients across the world.

Do you want to see the office? Click the link below:

https://www.youtube.com/watch?v=0pYS_ghtWSU&t=81s

The Role:

This Data Engineer position is a key component in the growth of the Data Science team. Supporting the existing team of data scientists, data engineers and analysts, this role will help provide the glue that enables the team to capitalise on the data assets the business has, and drive value from the insight we extract. We develop advanced and actionable data-driven insight to increase the efficiency of our marketing and ecommerce, increase customer lifetime value, improving customer experience, and open new business opportunities.

This role offers an opportunity to work at scale with data from MAG’s 3 airports, our (MAG owned) distribution companies, MAG USA and global clients. MAG’s customers alone number 60 million passengers per year, 70,000 car parking spaces, and digital properties attracting 30 million visitors per year. The projects supported are also varied, including forecasting, revenue management, support to the CRM team with optimization, customer experience, and recommender systems, with increasing interest in real-time solutions.

  Typical duties will include:

• To structure, develop, and support ETL tools for use by the Data Science team
• Accountable for ensuring that data is made available when required,
• Development and maintenance of an MAG-O-specific data warehouse
• Acquisition and extraction of relevant data sets, both internal and external
• Development of production-level code to support active Insights products, such as API-driven interactions with CRMs
• Creation of adequate test harnessing and log capture to ensure we track the performance of the data science models implemented.
• Ensure solutions are secure, reliable, fault-tolerant and efficient

You:

As the successful individual, you will have experience working as a Data Engineer, ideally in the direct support of data science activities, be a genuine self-starter, and eager to support our business in tackling real world strategic business and customer problems. You will join our established Data Science team, working together to help increase productivity, push forward our tools and pipelines, and grow and help govern our data lake and warehouse.

You will have in-depth practical experience with AWS and will be comfortable leveraging services such as EC2, Redshift, Lambda, Kinesis, and Batch.  Further, you’ll be able to help shape our evolving data science environment. You will have expert experience with Python, detailed SQL knowledge, and be used to dealing with API services to ingest and process data. Experience of supporting data users working with R is advantageous.

You must be naturally inquisitive and unafraid to offer solutions in a supportive and collaborative manner. You will need to be able to deal with multiple tasks simultaneously and be a supporting team player. As a growing team within MAG-O, you will have the opportunity to help shape how we operate, work with the latest technologies, and grow your skills, experience, and responsibilities.

Equal Opportunities

MAG is a values led organisation and we are committed to providing equal opportunities in all areas of work and business.  We want people to achieve their best, which will in turn positively impact on our customers and the communities in which we live and work. At MAG we empower people to be themselves within an inclusive and supportive environment, enabling everyone to achieve their full potential in line with their abilities and career aspirations.

Reasonable Adjustments 

As an inclusive employer, MAG wants to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore encourage you to inform us of any reasonable adjustments you might need to enable this to happen.

Please apply today as interviews will commence immediately