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Made Tech

Data Engineer

Made Tech

. Develop, operate, and maintain high-quality, cost-efficient data platforms and services for public sector organisations .

Posted 9/29/2026full-timeBristol • United KingdomMid-LevelSenior💰 £41,500 - £50,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data platforms tailored for public sector organizations, with a strong focus on Python programming, cloud infrastructure, and data engineering fundamentals. Capable of collaborating in cross-functional teams while providing hands-on engineering support and knowledge sharing.

Highest-signal resume keywords
Python ProgrammingCloud Infrastructure (AWS, GCP, Azure)Data Engineering Fundamentals (ETL/ELT)CI/CD PipelinesVersion Control (Git)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLData EngineeringETLData CleansingTDDCI/CDCloud ServicesInfrastructure-as-Code (Terraform)Data Architecture
Soft Skills
Good Communication SkillsKnowledge SharingCollaborationPresentation SkillsClient Needs Understanding
Tools & Technologies
GitTerraformAWSGCPAzure
Certifications & Qualifications
Eligibility for SC Clearance
Industry Keywords
Public SectorData PlatformsUser-Centric ServicesAgile PracticesTechnology Consultancy

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformPythonSQLTerraform

About the role

Key responsibilities & impact
  • Develop, operate, and maintain high-quality, cost-efficient data platforms and services for public sector organisations
  • Tailor data platforms and services to client needs
  • Provide maximum value to data consumers, including analysts, scientists, and business stakeholders
  • Contribute hands-on engineering work to client projects
  • Upskill members of client teams
  • Deliver outcomes for users
  • Participate in the continued development of Made Tech’s Data and AI Practice
  • Share knowledge and participate in skill-transfer sessions
  • Collaborate in cross-functional teams
  • Support public-sector digital services that are user-centric, data-driven, and free from legacy technology

Requirements

What you’ll need
  • Hands-on Python experience
  • Knowledge of cloud infrastructure such as AWS, GCP, or Azure
  • Experience with version control systems, specifically Git or similar tools
  • Understanding of TDD and testing methodologies, including data quality, integration, and 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 data lakes and warehouses
  • Knowledge of data cleansing and transformation within unified, standardised schemas
  • Basic SQL
  • 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
  • Enthusiasm for learning, self-development, and knowledge sharing
  • 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
  • 5 years’ continuous UK residency for SC eligibility
  • 5 years’ employment history, or history back to full-time education, for SC eligibility
  • Desirable: experience working at a technology consultancy
  • Desirable: experience working with data scientists to productionise advanced data deliverables such as machine learning models
  • Desirable: public sector experience
  • Desirable: experience with Agile practices such as Scrum, XP, and/or Kanban

Benefits

Comp & perks
  • 30 days of paid annual leave
  • Flexible parental leave options
  • Part-time remote working for all staff
  • Paid counselling
  • Financial and legal advice
  • Smart Tech scheme
  • Cycle to work scheme
  • Individual benefits allowance
  • Health care cash plan option
  • Pension plan option
  • Optional social and wellbeing calendar of events
  • Slack communities, special interest groups, and communities of practice
  • Support and adjustments during the application process