Senior Data Engineer

Made Tech

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

Posted 9/18/2026full-timeUnited KingdomSenior💰 £60,000 - £75,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data platforms tailored for public sector organizations, with a strong focus on data engineering fundamentals, cloud technologies, and effective communication with stakeholders. Proficient in hands-on engineering practices, including TDD, CI/CD, and data transformation methodologies.

Highest-signal resume keywords

Python ProgrammingCloud Provider Experience (GCP, Azure, AWS)Data Engineering Fundamentals (Batch/Streaming, ETL/ELT)CI/CD Pipeline UtilizationTerraform for Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleansingData TransformationVersion Control (Git)Testing Methodologies (TDD, Data Quality)Data Architectures (Data Lakes, Warehouses)Analytics Frameworks (Airflow, AWS Glue)Database TechnologiesData Processing Libraries (Pandas, Pydantic)Storage Formats (JSON, Parquet)Logging and Monitoring

Soft Skills

Communication SkillsStakeholder EngagementTeam Coordination

Tools & Technologies

TerraformDockerVirtual Environments

Certifications & Qualifications

SC Security Clearance Eligibility

Industry Keywords

Public Sector ExperienceTechnology ConsultancyMultidisciplinary Digital TeamsCommercial MindsetOrganic Account Growth

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerETLGoogle Cloud PlatformPandasPythonTerraform

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 and maximise value for analysts, scientists, and business stakeholders
Serve as a senior contributor on projects, delivering hands-on engineering work
Upskill members of client teams and participate in skill-transfer sessions
Ensure delivery outcomes for users and alignment between operational and analytical aspects of engineering solutions
Contribute to the continued development of Made Tech’s Data and AI Practice
Represent Made Tech internally and publicly through presentations
Share knowledge and participate in practice development

Requirements

What you’ll need

Hands-on knowledge of programming languages, particularly Python
Practical experience with major cloud providers including GCP, Azure, or AWS
Knowledge of core software engineering concepts such as DRY and SOLID
Proficiency in version control systems, specifically Git or similar tools
Demonstrated application of TDD and testing methodologies, including data quality, integration, and unit testing
Ability to leverage CI/CD pipelines
Knowledge of Data Engineering fundamentals, including Batch/Streaming and ETL/ELT
Familiarity with data architectures such as data lakes and warehouses
Hands-on experience with data cleansing and transformation within unified, standardised schemas
Experience with one or more of analytics and platform frameworks, orchestration tools such as Airflow or AWS Glue, database technologies, data processing libraries and schema management tools such as Pandas and Pydantic, and storage formats such as JSON and Parquet
Experience with IaC tools, particularly Terraform
Understanding of logging, monitoring, and alerting for enterprise-level pipelines
Understanding of access controls, policies, and approaches
Ability to gather basic requirements from clients and users and turn them into demonstrable outcomes
Knowledge of documenting and diagramming systems
Communication skills to explain concepts to stakeholders at different levels
Ability to coordinate with Product and Delivery managers
Eligibility for SC security clearance, requiring 5 years of continuous UK residency and a 5-year employment history or history back to full-time education
Desirable: technology consultancy experience
Desirable: Docker and virtual environments
Desirable: specialised data platforms, such as geospatial data
Desirable: pair programming or mob programming
Desirable: productionising advanced data deliverables such as machine learning models
Desirable: working knowledge of statistics
Desirable: multidisciplinary digital and technology teams
Desirable: public sector experience
Desirable: commercial mindset and organic account growth experience

Benefits

Comp & perks

30 days of paid annual leave plus bank holidays
Flexible parental leave options
Part-time remote working for all staff
Paid counselling
Financial and legal advice
Flexible benefits platform
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
Support and adjustments during the application process, including alternative document formats and interview accommodations