Lead Data Engineer

Department: Technology

Employment Type: Permanent

Location: Any UK Office Hub (Bristol / London / Manchester / Swansea)

Compensation: £80,000 - £96,000 / year

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-lead by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams.

Combining cloud engineering knowledge with a collaborative approach, you will work closely with stakeholders to cut through technical complexity, helping translate ambiguous user needs into clear, scalable, and effective data solutions.

You will take a lead role in multidisciplinary delivery teams to design and implement efficient, secure, and maintainable data storage and pipeline solutions.

• Define, shape, and implement cloud-native data strategies, and security-first engineering.
• Empower public sector teams to unlock the strategic value of their data by designing scalable, high-impact data solutions..
• Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP.
• As employee growth is a huge focus here at Made Tech, we would expect you to contribute to our recruitment efforts and encourage you to take on line management responsibilities.
• In some cases, you will work within the larger Made Tech team to identify growth opportunities within the account.
• Contribute to our practice by sharing knowledge, coordinating presentations and representing the capability internally and externally

We hire for a range of skills and experience so please apply even if you don’t meet all the criteria as if unsuccessful we can provide you with feedback.

We are looking for a Data Engineer who can demonstrate playing a key role in delivering a production ready data platform on one or more occasions.

• Proficiency in Python
• Proficiency in cloud platforms like AWS, Azure, or GCP
• The capacity to build and manage large-scale data transformation workflows
• Proficiency in managing PII and sensitive information while ensuring compliance with data legislation.
• Champion a Test-Driven Development (TDD) approach and share experience in implementing testing strategies including unit, integration, and data quality assessments
• An understanding of fundamental software principles, particularly SOLID and DRY
• Experience with version control systems such as Git Hub or Bitbucket
• Knowledge of contemporary data architectures, including Data Lakes, Data Warehouses, and Data Lake houses
• The ability to organize and transform diverse data types into standardized, unified schemas
• Good understanding of serverless, code-driven data transformation pipelines as well as traditional batch-oriented ETL systems.

While mastery of everything is not required, we are seeking Engineers who possess hands‑on experience with one or more of the following technological areas (or their equivalent cloud‑native alternatives):

• Analytics & Platform Frameworks like Apache Spark or similar cloud-specific services.
• Transformation & Orchestration tools
• Database Technologies
• Libraries & Schema Management
• Storage Formats:
  Familiarity managing diverse data types through formats like JSON and Parquet
• Containerisation

We are interested in Engineers with a solid understanding of Dev Ops to enable ownership of cloud infrastructure and different environments including:

• Experience of deploying Data platforms and pipelines
• Strong experience in IaC, preferably Terraform
• Experience in establishing CI/CD pipelines to ensure code excellence and…