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Work setup: Hybrid stated — work setup source
Job Title: Data Engineer Location: London HQ/Hybrid Reports to: Data & Analytics Lead
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Employment: Full-time — employment source
Reports to: Data & Analytics Lead Employment Type: Full-Time, hybrid Job Summary
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What you’ll work on

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.
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.

From the employer’s posting

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

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.

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.

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Tools in this posting

sql
aws
redshift
snowflake

Source

- 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)

- 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.

- 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

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Pay: No pay amount identified in the saved description.
Location & working pattern: London, England, United Kingdom
Job Title: Data Engineer Location: London HQ/Hybrid Reports to: Data & Analytics Lead Employment Type: Full-Time, hybrid Job Summary
More source context
- 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
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.eu.greenhouse.io ↗Read the full description ↓

Posting history

Status in our records: Active
First seen by us: Sep 7, 2026
Recorded sightings: 1

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Job description

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.

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