Knowledge of cloud infrastructure such as AWS, GCP, or Azure.
Experience using version control systems, specifically Git or similar tools.
Understanding of test-driven development and testing methodologies, including data quality, integration, and unit testing.
Understanding of continuous integration and continuous delivery pipelines for maintaining code quality and facilitating deployments.
Knowledge of data engineering fundamentals, including batch processing and ETL/ELT.
Basic understanding of data architectures such as data lakes and data warehouses.
Knowledge of data cleansing and transformation within unified, standardised schemas.
Basic SQL knowledge.
Awareness of infrastructure as code tools, particularly Terraform.
Knowledge of basic logging and monitoring practices.
Knowledge of basic access controls, policies, and approaches, particularly on cloud services.
Desire to learn, develop, and share knowledge within a team and organisation.
Good communication skills.
Showcasing and presentation skills.
Desire to work in a cross-functional team environment.
Desire to understand client needs and requirements.
Eligibility for SC (Security Check) clearance, requiring five years of continuous UK residency and a five-year employment history or history back to full-time education.
Responsibilities
Deliver engineering work on client projects as a hands-on contributor.
Develop, operate, and maintain high-quality, cost-efficient data platforms and services tailored to client needs.
Provide maximum value to data consumers, including analysts, scientists, and business stakeholders.
Upskill members of the client team.
Participate in the continued development of the Data and AI Practice.
Share knowledge and participate in skill-transfer sessions.
Desired Qualifications
Experience working at a technology consultancy.
Experience working with data scientists to productionise advanced data deliverables, such as machine learning models.
Experience working within the public sector.
Experience working with Agile practices such as Scrum, XP, or Kanban.
Our Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to the clients’ needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders.
At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients.
As a Data Engineer, you'll play a hands-on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team.
As a member of the Data and AI Practice within Made Tech, you will also participate in the continued development of the team. You’ll need to have a drive to deliver outcomes for users and have a desire to share your knowledge and participate in skill transfer sessions.
We look for the following skills and experience. But if you don’t have some of the skills and experience listed below, don’t let that stop you from applying!
Engineering and Data Engineering
Hands-on Python experience
Knowledge of cloud infrastructure like AWS, GCP or Azure
Have used version control systems, specifically Git or similar tools
Understanding of TDD and diverse testing methodologies, such as data quality, integration, and unit testing
Understanding of CI/CD pipelines to maintain code quality and facilitate deployments
Knowledge of Data Engineering fundamentals, including Batch processing and ETL/ELT
Basic understanding of various data architectures, such as Lakes and Warehouses
Knowledge of data cleansing and transformation within unified, standardised schemas
Basic SQL
DevOps and DataOps
Awareness of IaC tools, particularly Terraform
Knowledge of basic logging and monitoring practice
Knowledge of basic access controls, policies and approaches particularly on Cloud services
Consultancy Skills
Enthusiasm for learning and self-development and sharing that within a team and organisation
Good communication skills
Showcasing and presentation skills
Desire to work in a cross functional team environment
A desire to understand client needs and requirements
Desirable experience
Experience in the following things isn’t essential, but it’s highly desirable!
Working at a technology consultancy
Working with data scientists to productionise advanced data deliverables, such as machine learning models
Working within the public sector
Experience of working in Agile practices such as Scrum, XP, and/or Kanban
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.