At a Glance
- Tasks: Build scalable data solutions and optimise data models for live entertainment.
- Company: Join AXS, a top-rated workplace in the heart of live events.
- Benefits: Flexible working, competitive salary, and a vibrant team culture.
- Other info: Inclusive environment with great career growth and support for diverse backgrounds.
- Why this job: Make a real impact on how millions enjoy live events with cutting-edge data technology.
- Qualifications: Strong Python and SQL skills, experience with cloud platforms and data pipelines.
The predicted salary is between 70000 - 90000 £ per year.
Looking to take the next step in your data engineering career? Want to join one of The Sunday Times Best Places to Work? AXS, part of AEG, is a global leader in ticketing technology, helping millions of fans access live events around the world. We're looking for two Data Engineers to join our London team. You'll work with colleagues across Europe, North America and Asia to build scalable data solutions that power our products, marketing activities and business decisions. This is an opportunity to work with modern cloud technologies, real-time data pipelines and large-scale datasets in a business that sits at the heart of live entertainment.
What You'll Be Doing
- Build & Deliver Data Solutions: Design, build and maintain scalable ETL/ELT pipelines using tools such as Airflow and dbt. Build and manage both real-time and batch data pipelines that support AXS products and platforms.
- Data Modelling & Analytics: Develop and optimise data models within cloud data warehouses such as Snowflake, Redshift or BigQuery. Create reliable data structures that support reporting, analytics and business insights.
- Improve Data Quality: Implement data quality frameworks to help ensure data is accurate, complete and reliable. Monitor and improve the performance and resilience of data pipelines.
- Partner Across the Business: Work closely with product, marketing and leadership teams to translate business needs into practical data solutions. Share technical concepts and data insights with both technical and non-technical stakeholders.
- Drive Best Practice: Support modern engineering practices including version control, CI/CD and infrastructure as code. Contribute to continuous improvements in data engineering standards, tooling and processes.
What We're Looking For
- Technical Skills: Strong Python skills for data engineering, transformation and automation. Advanced SQL skills, including query optimisation and working with large datasets.
- Cloud & Data Platforms: Experience working with AWS services such as S3, Glue, Redshift, Lambda or Kinesis. Experience with cloud data warehouse technologies including Snowflake, Redshift or BigQuery.
- Data Pipeline & Streaming Experience: Experience with dbt for data transformation and modelling. Knowledge of Apache Airflow or similar orchestration tools such as Prefect or Dagster. Experience with streaming platforms such as Kafka, StreamSets, AWS Kinesis or Flink.
- Engineering Practices: Familiarity with Git and modern software development practices. Understanding of infrastructure-as-code tools such as Terraform or AWS CDK.
- Ways of Working: Comfortable working independently and as part of an Agile team. Able to communicate effectively with a wide range of stakeholders.
Why Join AXS? You’ll be part of a global organisation at the heart of live entertainment, working with collaborative teams, modern technology, and data that has real impact—plus the recognition of being one of the UK's best places to work. Ready to make data matter? Apply now and help shape how millions of fans experience live events around the world.
This role is based in our London Head Office near London Bridge station. We work 3 days in the office (Tues-Thu) and 2 days from home (Monday and Friday). We also offer flexible start and end times and welcome flexible working conversations.
About AEG: AEG is an inclusive organisation where we value everybody's contribution. We empower and trust our people to do the right thing. We go the extra mile, for our customers and each other, every time. We are always open to new ideas and respect all opinions. We support and bring out the best in each other. We really value our people and inspire them to be the best in class, always!
Our commitment to inclusion: We are committed to fostering a diverse and inclusive workforce. We believe in equality of opportunity for all and our approach to recruitment and selection is fair, open and based purely on merit. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. If you require reasonable adjustments in any recruitment process with us, please make us aware. We know that diverse teams make the strongest teams. That's why we actively encourage people from all backgrounds, experiences and perspectives to apply.
If this role excites you but you're wondering whether you meet every single requirement – don't hold back. If you've got most of what we're looking for and you're passionate about what we do, we'd love to hear from you. You might be exactly who we need, in this role or another. Because at AEG Europe, we believe that the best ideas come from the most inclusive teams – and we're building a workplace where everyone can thrive.
Data Engineers in London employer: Aegeurope
Aegeurope is an excellent employer, offering a dynamic and inclusive work culture in the heart of Blackfriars. With flexible working arrangements and a strong focus on employee growth, we empower our team members to shape data strategies that drive impactful decision-making. Join us to be part of a collaborative environment where your passion for data can flourish and contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineers in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Aegeurope!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineers at Aegeurope.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Aegeurope.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineers at Aegeurope, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineers in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aegeurope, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aegeurope. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aegeurope
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aegeurope!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
