Overview
Data Engineer - 3 days a week onsite in Glasgow office. Join to apply for the Data Engineer role at iOpt.
About the Company
At iOpt, we are dedicated to improving housing conditions, reducing energy costs, and supporting tenants struggling with fuel poverty. Using cutting-edge sensor technology, we empower asset managers with data visibility to make informed decisions and protect property portfolios. With a commitment to innovation and sustainability, iOpt partners with housing providers, landlords, and property managers to create smarter, more sustainable living and working spaces.
About the Role
We are looking for a skilled Data Engineer to join our Data & Analytics team. You will work alongside our Data Scientist and Data Analyst, supporting the development of scalable data pipelines, ensuring data quality and availability, and enabling efficient access to data for analytics and machine learning solutions.
Responsibilities
* Design, build, and maintain reliable data pipelines and ETL processes.
* Collaborate with Data Scientists and Analysts to understand data requirements and ensure accessibility and quality.
* Implement and manage data warehousing solutions (e.g., Databricks, Redshift, etc).
* Develop APIs and data services to expose and consume data securely.
* Ensure data governance, security, and compliance best practices are followed.
* Optimize workflows for performance and cost (e.g., tuning queries, scaling clusters, caching).
* Monitor and troubleshoot data systems to maintain high uptime and data accuracy.
* Automate data quality validation, monitoring, and alerting using modern observability tools.
* Support the development and maintenance of dashboards by ensuring underlying data models and tables are accurate, performant, and well-documented.
* Build and support machine learning pipelines and model deployment.
* Troubleshoot and debug data issues, ensuring system uptime and reliability.
Qualifications
* Proven experience as a Data Engineer or similar role.
* Strong problem-solving skills and attention to detail.
* Ability to work collaboratively in a cross-functional team.
Required Skills
* Object Storage: AWS S3 – lifecycle policies, data partitioning, fine-grained access controls.
* BI & Visualization: Apache Superset – designing, deploying and maintaining interactive dashboards and data exploration tools.
* Programming & Query Languages: Python (pandas, PySpark), SQL (advanced window functions, CTEs, optimisation).
Preferred Skills
* Knowledge of and experience implementing DBT.
* Exposure to geospatial data or IoT datasets.
* Background in DevOps, CI/CD, or infrastructure as code.
* Experience with dashboarding tools (e.g., Power BI, Looker, Tableau).
Benefits
* Generous Holiday Allowance: 28 days of holiday plus bank holidays, with the flexibility to use them whenever suits you best.
* Vitality Medical Cover: Comprehensive health coverage to support your well-being and provide peace of mind.
* Flexible Working: Hybrid model with the freedom to balance work between home and office, accommodating your lifestyle.
Equal Opportunity Statement
At iOpt, we are committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to thrive. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our teams and drives innovation.
We are proud to be an equal opportunities employer. We do not discriminate on the basis of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, ethnic origin, nationality, religion or belief, sex, or sexual orientation.
All employment decisions at iOpt are made based on business needs, job requirements, and individual qualifications. We actively encourage applications from all suitably qualified individuals and welcome the opportunity to support candidates who may require adjustments during the recruitment process.
If you have any questions about accessibility or adjustments, please let us know when you apply — we’ll do everything we can to support you.
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