Job Types: Full-time, Permanent
Work Location: Remote (UK-based only)
Salary: £50,000–£65,000 depending on experience
About Us
Asseticom is a dynamic software company specialising in asset management data capture solutions for the built environment. Our platform enables global engineering consultancies, central government, and facilities management firms to optimise asset information using innovative technology, spatial data, and advanced analytics.
Role Overview
We’re seeking a skilled Data Engineer to join our growing team in the facilities management sector. You’ll design and deliver customer-facing data products, leveraging Google Cloud Platform (GCP) to enhance client experiences. This fully remote role offers a collaborative, flexible environment with occasional travel for company events. Join a team that values technical excellence, innovation, and work-life balance, with opportunities to work on cutting-edge spatial data solutions alongside other talented engineers and industry leaders.
Note: This role is open to UK residents with the right to work in the UK. Applications from outside the UK, outsourcing firms, or recruitment agencies will not be considered.
Responsibilities
System Design \& Development
Build and maintain RESTful APIs using TypeScript, adhering to Swagger/OpenAPI standards.
Design and optimise BigQuery schemas and queries for performance and cost efficiency.
Integrate Cloud Run, Functions, and Dataflow/DBT for scalable data pipelines.
Security \& Access Control
Implement IAM roles and service accounts with least-privilege principles.
Ensure secure API and data resource access.
Conduct regular security reviews and audits.
Maintenance \& Support
Troubleshoot bugs, performance issues, and client-reported concerns.
Support evolving data and reporting needs.
Optimise infrastructure for scalability and cost.
Document architecture, processes, and best practices.
Required Skills \& Experience
3–5 years of data engineering experience in a software team environment.
Expertise in SQL and BigQuery for schema design and query optimization.
Proven ability to design and document RESTful APIs in TypeScript using Swagger/OpenAPI.
Strong experience with GCP services (Cloud Run, IAM, Functions, Dataflow/DBT).
Solid understanding of ETL/ELT processes, data lakehouse architectures, and cloud integration.
Knowledge of cloud security best practices and cost optimisation.
Familiarity with CI/CD pipelines and DevOps practices.
Ability to work independently and communicate effectively with technical and non-technical stakeholders.
Nice to Have
Experience with Power BI or similar data visualisation tools to support client reporting.
Familiarity with AWS or Azure, with a willingness to adapt to GCP.
Relevant cloud or data-centric certifications (e.g., Google Cloud Professional Data Engineer).
Computer Science or related technical degree.
Familiarity with React, React Native, Firebase.
Assessment Process
Candidates will undergo a two-stage interview process, including a 45-minute practical assessment focused on BigQuery schema design and API integration.
Benefits
25 days paid annual leave + bank holidays
Company pension with 3% employer contribution.
Private medical insurance, including mental health support and access to wellness resources.
Annual budget for professional development (e.g., certifications, conferences).
Choice of computer equipment (Mac or PC).
Regular company events (virtual and in-person).
Schedule
Monday to Friday, flexible hours to support work-life balance.
Note: This is not an exhaustive list of responsibilities or qualifications. Skills will be assessed prior to an offer.
Job Types: Full-time, Permanent
Pay: £50,000.00-£65,000.00 per year
Benefits:
Casual dress
Company events
Company pension
Employee mentoring programme
Free or subsidised travel
Health \& wellbeing programme
Private medical insurance
Sick pay
Work from home
Experience:
Data Engineer: 3 years (required)
Big Query: 3 years (required)
SQL: 3 years (required)
TypeScript: 2 years (required)
Language:
English (required)
Location:
United Kingdom (required)
Work Location: Remote