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# Data Engineer

- **Company:** Disguise Technologies Ltd
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Database Design, Github, Python (Programming Language), Operational Databases, Power BI, SQL Databases, Git, Cloudformation, Infrastructure Automation Frameworks, Data Analytics, Star Schema, Software Version Control, Data Pipelines, Docker
- **Published:** September 7, 2026
- **Apply:** https://startup.jobs/data-engineer-disguise-technologies-ltd-9951637

## About the Role

* 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

## Description

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., * 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.


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