At a Glance
- Tasks: Design and maintain data pipelines to empower data-driven decisions.
- Company: Join Disguise, a leader in innovative visual experiences.
- Benefits: Unlimited Paid Time Off, hybrid working, and mental health support.
- Other info: Collaborative culture that values diversity and inclusion.
- Why this job: Make an impact in the entertainment industry with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong SQL and Python skills.
The predicted salary is between 63000 - 77000 £ per year.
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 ,
- Git Hub ) and CI/CD pipelines (e. g.,
- Git Hub
- Actions )
- Experience with containerisation technologies like
- Docker
- Able to leverage AI coding assistants (e. g.
Claude ) professionally and productively.
- Infrastructure as Code (Ia C) tools such as
- Cloud Formation
- Able to resolve a connection issue within BI and data visualisation tools like
- Power
- 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.
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.
- 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
- #J-18808-Ljbffr
Data Engineer employer: Disguise
Disguise is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every employee's unique contributions are celebrated. With a strong focus on employee growth, we offer unlimited paid time off, mental health support, and a gig allowance to immerse yourself in the industry, all while working in a hybrid model from our vibrant London office. Join us to lead a talented global marketing team at the forefront of immersive experiences, and be part of a company that values resilience, evolution, and belonging.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Disguise!
✨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 Engineer at Disguise.
✨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 Disguise.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Disguise, 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 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!
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 Disguise, 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 Disguise. 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 Disguise
✨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 Disguise!
✨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.
