Data Engineer
A hands-on Data Engineer building and maintaining data platforms and services for UK public sector clients, contributing to client projects and upskilling client teams. Core stack includes Python, cloud platforms (AWS/GCP/Azure), SQL, ETL/ELT, Terraform and CI/CD, with consultancy-style communication.
- Compensation
- £41.5K–£50K / yr
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Part time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on Python experience
- Knowledge of cloud infrastructure like AWS, GCP or Azure
- Experience with version control systems, specifically Git
- Understanding of TDD and testing methodologies (data quality, integration, unit testing)
- Understanding of CI/CD pipelines
- Knowledge of Data Engineering fundamentals including batch processing and ETL/ELT
- Basic understanding of data architectures such as Lakes and Warehouses
- Knowledge of data cleansing and transformation within standardised schemas
- Basic SQL
- Awareness of IaC tools, particularly Terraform
- Knowledge of basic logging and monitoring practice
- Knowledge of basic access controls and policies on Cloud services
- Good communication skills
- Showcasing and presentation skills
- Desire to work in a cross-functional team environment
- Desire to understand client needs and requirements
- Enthusiasm for learning, self-development and sharing knowledge
- Eligibility for UK SC security clearance (5 years' continuous UK residency and 5 years' employment history)
Nice to have
- Experience working at a technology consultancy
- Experience productionising advanced data deliverables such as machine learning models with data scientists
- Experience working within the public sector
- Experience with Agile practices such as Scrum, XP and/or Kanban
Full description
Data Engineer
Department: Technology
Employment Type: Permanent - Full Time
Location: Any UK Office Hub (Bristol / London / Manchester / Swansea)
Compensation: £41,500 - £50,000 / year
Description
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.
Key Responsibilities
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.
Skills, Knowledge & Expertise
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