Demonstrate having played a key role in delivering a production-ready data platform on at least one occasion.
Be proficient in Python and at least one public cloud platform such as AWS, Azure, or Google Cloud Platform.
Be able to build and manage large-scale data transformation workflows.
Be proficient in managing personally identifiable information and sensitive information while ensuring compliance with data legislation.
Understand test-driven development and have experience implementing testing strategies, including unit testing, integration testing, and data quality assessments.
Understand fundamental software principles, particularly SOLID and DRY.
Have experience with version control systems such as GitHub or Bitbucket.
Know contemporary data architectures, including data lakes, data warehouses, and data lakehouses.
Be able to organize and transform diverse data types into standardized, unified schemas.
Understand serverless, code-driven data transformation pipelines and traditional batch-oriented extract, transform, and load systems.
Have hands-on experience in one or more technology areas such as analytics and platform frameworks, transformation and orchestration tools, database technologies, libraries and schema management, storage formats, or containerization.
Have a solid understanding of DevOps to support ownership of cloud infrastructure and multiple environments.
Have experience deploying data platforms and pipelines.
Have strong experience in infrastructure as code, preferably Terraform.
Have experience establishing continuous integration and continuous delivery pipelines to ensure code quality and support rapid, iterative releases.
Have experience implementing logging, monitoring, and vulnerability checks.
Be able to discuss cost estimates accurately when designing, deploying, and managing services.
Have experience interpreting business and data landscapes to guide delivery and product managers, recognize client requirements, and work alongside other disciplines such as business analysts and user researchers.
Be able to discuss DataOps utilities across orchestration, analytics, and data integration.
Have a proven track record in agile delivery environments and be able to work in Kanban, XP, or Scrum frameworks.
Be able to foster organic account growth through a commercial mindset and engagement with senior stakeholders.
Be able to work in cross-functional teams.
Have a desire to upskill and share knowledge with a team and within the organization.
Be able to mentor, manage, and develop talent within the organization.
Be eligible for UK Security Check clearance; eligibility requires five years of continuous UK residency and five years of employment history, or a history extending back to full-time education.
Responsibilities
Design and implement efficient, secure, and maintainable data storage and pipeline solutions as a lead member of multidisciplinary delivery teams.
Define, shape, and implement cloud-native data strategies and security-first engineering.
Help public sector teams unlock the strategic value of their data by designing scalable data solutions.
Advise on data-driven approaches using public cloud services such as AWS, Azure, and Google Cloud Platform.
Contribute to recruitment efforts and take on line-management responsibilities as appropriate.
Work with the wider team in some cases to identify account growth opportunities.
Share knowledge, coordinate presentations, and represent the data capability internally and externally.
Desired Qualifications
Collaborate within multidisciplinary digital and technology teams and encourage practices such as pair programming.
Have experience with specialized data platforms focused on domains such as financial or geospatial data.
Have experience in the public sector, including facilitating data sharing and use across government departments.
Partner with data scientists to transition advanced data deliverables, such as machine learning models, into production environments.
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 MadeTech 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.
Engineering and Data Engineering:
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 GitHub or Bitbucket
Knowledge of contemporary data architectures, including Data Lakes, Data Warehouses, and Data Lakehouses
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.
Technologies
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
DevOps and DataOps
We are interested in Engineers with a solid understanding of DevOps 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 support rapid, iterative releases
Experience of implementing logging, monitoring and checks for vulnerabilities
The ability to accurately talk about cost estimates when designing, deploying, and managing services
Consultancy Skills
Experience and aptitude for interpreting the business and data landscape to guide Delivery and Product managers, ensuring project success by recognising client requirements, alongside other disciplines (e.g., Business Analysts, User Researchers).
Skilled at discussing DataOps utilities across orchestration, analytics, and data integration.
Proven track record in agile delivery environments, with the ability to work in teams that function in Kanban, XP, or Scrum frameworks.
Ability to foster organic account growth through a commercial mindset and engagement with senior stakeholders.
Ability and desire to work in cross functional teams
A desire to upskill and share knowledge with a team and within the organisation
Mentoring, managing and developing talent within the organisation
Desirable experience
Experience in the following things isn’t essential, but it’s highly desirable!
Collaborating within multidisciplinary digital and technology teams encouraging practices like Pair programming
Experience with specialised Data Platforms focused on specific domains like Financial or Geospatial data
Operating within the public sector, including the facilitation of data sharing and utilisation across various government departments
Partnering with data scientists to transition advanced data deliverables, such as machine learning models, into production environments
At this point, we hope you're feeling excited about Made Tech and the job opportunity. Even if you don't feel that you meet every single requirement, we still encourage you to apply. Get in touch with our talent team if you’d like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies.
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.
Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full-time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why.
Support in applying
If you need this job description in another format, or other support in applying, please email [email protected].
We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We’re collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us.
When you apply, we’ll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates.