Job Title: Data Engineer
Location: London HQ/Hybrid
Reports to: Data & Analytics Lead
Employment Type: Full-Time, hybrid
Job Summary
We're looking for an experienced Data Engineer to join our growing team. You'll be instrumental in designing, building, and maintaining our data infrastructure and pipelines. You'll work with large, complex datasets to empower our analysts, and business stakeholders to make data-driven decisions that shape the future of our company. 🚀
Key Responsibilities
- Design, build, and maintain robust, scalable, and reliable ETL/ELT data pipelines.
- Develop data models and schemas in our data warehouse to support business analytics and reporting needs.
- Integrate data from a variety of sources, including third-party APIs, internal databases, and streaming platforms.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
- Collaborate with analysts, business stakeholders and software engineers to understand data requirements and provide clean, accessible datasets.
- Optimise and improve the performance of our data architecture and pipelines.
- Contribute to our team’s best practices for data engineering and facilitate knowledge sharing within the wider team.
Required Skills & Qualifications
- 3+ years of hands-on experience in a data engineering role
- Strong proficiency in SQL and Python
- Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3)
- Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling.
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Experience with version control systems (e.g., Git, GitHub) and CI/CD pipelines (e.g., GitHub Actions)
- Experience with containerisation technologies like Docker
- Able to leverage AI coding assistants (e.g. Claude) professionally and productively.
Desirable
- Infrastructure as Code (IaC) tools such as CloudFormation
- Able to resolve a connection issue within BI and data visualisation tools like Power BI
About Disguise
Disguise is the industry-leading platform sitting at the heart of a new era of visual experiences. One powerful integrated system of software, hardware and services to help create the next dimension of real-time spectacle.
We partner with the biggest entertainment brands and companies in the world to deliver the A-list of live music events, live TV broadcasts, immersive experiences, installations, theatre, film and TV production, corporate communications and brand product launches. Working with Disney, Snapchat, Netflix, ESPN, the Burj Khalifa, and Adele, Disguise is the number one partner delivering the next dimension of entertainment.
Watch our showreel
Don’t Disguise your differences.
Innovation comes from everyone. We strive to create a workplace that reflects our diverse audience. We celebrate our people for their full authentic selves, and embrace uniqueness. Inclusion and Equity matter at Disguise. We create together and we create everywhere.
Our values
- Honest. We are real with ourselves and our clients and share our ideas with openness and transparency.
- Evolutionary. We innovate using our user’s ever-changing needs so our technology remains ahead-of-the-game.
- Fearless. We take the best path, not the easiest, and innovate where it’s right, not where it’s simplest.
- Resilience. We don’t give up until we find the right solution, even if it means going outside our remit.
- Belong. We create an environment where everyone feels like they belong and is empowered to do their best work.
Our benefits
- We have a suite of globally relevant competitive benefits packages as we want to make sure we retain the best talent out there. Our benefits for every perm hire, globally include:
- Unlimited Paid Time Off - with minimum time you must take set at 20% above statutory
- Hybrid working between home and our offices (dependent on role and location)
- Mental health and wellbeing support - subscription to the Calm app, mental health first-aid buddies, employee assistance programmes
- Gig allowance - £400 (or local equivalent) to spend on tickets every year to immerse yourself in our industries
- Belonging policies - including (but not limited to) support for Parental, Fertility, Miscarriage, Menopause and Transitioning
- Training, coaching & mentoring
Skills Required
- 3+ years of hands-on experience in a data engineering role
- Strong proficiency in SQL and Python
- Strong experience with AWS Batch, Lambda, Glue, ECR, RDS, Redshift, and S3
- Experience with data warehousing, database design, and data modeling
- Excellent problem-solving skills and ability to work independently and collaboratively
- Experience with Git, GitHub, and CI/CD pipelines such as GitHub Actions
- Experience with containerization technologies such as Docker
- Ability to use AI coding assistants such as Claude professionally
- Experience with Infrastructure as Code tools such as CloudFormation
- Ability to resolve connection issues in Power BI and data visualization tools
What We Do
Disguise is the industry-leading platform at the heart of the new era of visual experiences. One powerful integrated system of software, hardware and services to help create the next dimension of real-time spectacle and the most talked about shows on Earth.
