Hybrid Data Engineer: Scalable Pipelines & Data Warehousing

Disguise; Greater London; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Unlimited PTO

Hybrid working

Mental health support

Gig allowance

Belonging policies

Training, coaching & mentoring

Job summary

Disguise is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and a robust data infrastructure in a dynamic, data-driven environment.

You will work with large datasets, collaborate with analysts and engineers, and help shape strategic decisions through analytics and reporting. The role emphasizes IAM, data quality, and efficient data modelling within our modern data stack.

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.
• Infrastructure as Code (IaC) tools such as CloudFormation
• Able to resolve a connection issue within BI and data visualisation tools like Power BI

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.

Skills

SQL

Python

AWS

Data warehousing

Database design

CI/CD

Tools

Git

GitHub

GitHub Actions

Docker

Claude

CloudFormation

Power BI

Job description

Disguise is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and a robust data infrastructure in a dynamic, data-driven environment.

You will work with large datasets, collaborate with analysts and engineers, and help shape strategic decisions through analytics and reporting. The role emphasizes IAM, data quality, and efficient data modelling within our modern data stack.