Senior Data Engineer (part-time) (IR-523)

Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe.We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impactTogether, our team delivers solutions that make a difference. Learn more at www.intellectsoft.net/ Requirements 4+ years of professional experience in data engineering Experience with PostgreSQL and SQL Data warehouse schemas: bronze, silver, gold, semantic, governance Power BI as the reporting and dashboarding layer Power BI Apps, Deployment Pipelines, Paginated Reports Power Apps / Power Automate integration for action writeback ETL/ELT ingestion from ERP, CRM, production, budget, quality, catalog, and organization systems Data quality SQL assertions and acceptance testing Scheduled daily and hourly refresh pipelines Role-based access and secure semantic reporting views Nice-to-have: Experience with healthcare operational reporting. Experience building management cockpit, executive KPI, churn risk, client retention, or operational alerting datasets. Experience supporting action-tracking workflows or writeback patterns using Power Apps, Power Automate, Dataverse, or SharePoint staging. Experience with orchestration tools such as Airflow, dbt, Dagster, Prefect, cron-based jobs, or cloud-native schedulers. Responsibilities: Design, build, and maintain the reporting data warehouse using a layered model: bronze, silver, gold, semantic, and governance. Build reliable ELT/ETL pipelines from ERP, CRM, production, budget, quality, catalog, and organization data sources. Develop and optimize SQL transformations for daily facts, conformed dimensions, KPI views, cohort analytics, client 360 views, alerting views, and operational dashboards. Maintain semantic views used by Power BI reporting, ensuring business users only access approved reporting layers. Implement data quality checks, freshness validation, reconciliation tests, and SLA monitoring. Support daily and hourly refresh pipelines, including incremental refresh logic for operational order and production data. Implement governance, role-based access, and secure data access patterns for group, lab, clinic, owner, and user-level visibility. Partner with BI developers to ensure Power BI reports are backed by clean, stable, documented semantic datasets. Collaborate with business stakeholders to validate KPI definitions, reporting grain, ownership logic, and actionability of alerts. Maintain documentation for data lineage, metric definitions, pipeline runbooks, and acceptance tests.

Benefits

Awesome projects with an impact Udemy courses of your choice Team-buildings, events, marathons & charity activities to connect and recharge Workshops, trainings, expert knowledge-sharing that keep you growing Clear career path Absence days for work-life balance Flexible hours & work setup - work from anywhere and organize your day your way