At a Glance
- Tasks: Build and enhance our data analytics platform with cutting-edge technology.
- Company: Join Red Engine, a dynamic team disrupting the hospitality industry.
- Benefits: Enjoy competitive pay, 33 days leave, and private healthcare.
- Other info: Be part of a diverse team that values inclusion and collaboration.
- Why this job: Make a real impact in a creative environment with growth opportunities.
- Qualifications: Experience in data engineering, Azure, and ETL/ELT pipelines required.
The predicted salary is between 36000 - 60000 £ per year.
About Us
Hello, we are Red Engine, the team behind the award-winning global brands Flight Club and Electric Shuffle. We are obsessed with disrupting the hospitality industry by creating and delivering the best possible experience - across all venues, products and brands. Our central team covers the full spectrum of skills needed to bring each concept to life – from design to marketing, sales to interior design, people and training, to finance, gaming and HR and everything in between. We love what we do and are proud to be included in the Sunday Times Best Places to Work 2025. With a total of 19 incredible venues throughout the UK, and a further 16 around the globe, we have ambitious plans and are passionate about developing new and exciting products, which means we’re always growing and looking for passionate people to join the family.
The Job
As a Senior Data Engineer, you will be working in the Red Engine Business Intelligence team, helping to build out the existing data and analytics platform. This role is placed within a small team, allowing the successful candidate design freedom in implementing bespoke features and enhancements to our data platform using the latest technology. In this role you will assist other engineers in the development of the data platform. This includes meeting with key business stakeholders to gather technical requirements and implementing these requirements into technical data solutions within the Data & Analytics platform.
Key responsibilities will include:
- Developing and maintaining data pipelines to orchestrate the ingestion of data from disparate source systems into a centralised data analytics platform.
- Designing and implementing data engineering solutions using T-SQL, Python, PySpark and DBT in the Azure cloud environment.
- Working with Data Analysts in promoting business logic into DBT data models, to support business reports and dashboards.
- Maintaining and leveraging CI/CD deployment pipelines to promote application code into higher tier environments.
- Maintaining and updating the technical documentation suite in Azure DevOps.
To be successful in this role, you’ll:
- Demonstrate solid experience developing ETL/ELT ingestion pipelines to handle data movement, transformation and visualisations from structured and unstructured sources.
- Have experience with the Azure Platform including:
- Data Ingestion: Azure Data Factory (ADF), Databricks, Logic Apps and Function App
- Data Storage: ADLS, SQL Server and Unity Catalog (Medallion Architecture)
- Data Analysis: Databricks Notebooks, SQL Queries, Data visualisation
- Strong understanding of the Databricks Platform including managing, developing and deploying workflows, jobs and notebooks.
- Proven experience in modelling data in a Data warehouse using an Inmon or Kimball approaches.
- Database development experience in SQL Server including the creation of stored procedures in T-SQL or a similar enterprise database toolset.
- Experience working in an Agile software development framework.
- Excellent working knowledge of Data Build Tool (DBT) with a demonstrated ability in developing data models, contracts, tests, validation, and transformations.
- Experience working with modern data distributed file formats (i.e., Parquet, Delta, Iceberg, Hudi).
- Demonstrated experience with building data ingestion pipelines from REST API data sources.
- Strong ability to produce technical documentation that can be understood by both technical and non-technical audiences.
- Strong working understanding in Cloud Administration and/or Database Administration.
Desirable Skills:
- Experience with IaC solutions using Terraform, Pulumi or similar tools.
- Experience with modern CI/CD DevOps frameworks.
- Experience in developing data visualisations using PowerBi, Tableau or similar tools.
- Experience working with the MS Fabric platform.
What you’ll get:
- Competitive pay
- Annual bonus
- 33 days annual leave inclusive of Bank Holidays
- Fusion working (our team are regularly in our venues, working collaboratively in our bright offices in Angel, or focusing on individual projects with work from home Thursdays)
- Staff discount in all venues (50% off Sunday, Monday, 25% off Tuesday – Saturday, and free game hire)
- Private healthcare
- Regular team socials and weekly lunch in venue
- Monthly learning and development classes, quarterly teambuilding events
- Summer and Christmas socials
- Help @ hand 24/7 health support
- Free access to therapy, nutritionists, and physiotherapists
- Weekly lunch in venue
Here at Red Engine, we believe our success begins and ends with our people. We are committed to a diverse culture where all our team feel respected and included. We acknowledge the power that a diverse set of beliefs and perspectives can bring, and that a variety of voices strengthens our team, enhances creativity, and drives innovation. We welcome applications from candidates of all identities, including individuals of different races, ethnicities, genders and sexual orientations. If you’re passionate about contributing to a culture of inclusion and collaboration, please apply.
Senior Data Engineer employer: Red Engine
Flight Club in London is an exceptional employer that fosters a vibrant and inclusive work culture, where every team member is valued for their unique contributions. With benefits like paid breaks and staff meals, along with opportunities for personal growth and development, employees can thrive in a dynamic environment that prioritises warmth, togetherness, passion, and innovation. Join us to be part of a high-energy team that reinvigorates nights out and creates unforgettable experiences for our guests.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior Data Engineer
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Red Engine. 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 Red Engine
✨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!
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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
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✨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.
