Ollion is an innovative company focused on delivering tech-forward solutions to business challenges. As a Delivery Engineer, you will collaborate with clients to design, build, and optimize scalable, cloud-native data systems that drive enterprise transformation and meaningful business outcomes.
Responsibilities:
- Collaborate with business and technical leaders to design and build robust data engineering solutions that ensure high quality and delivery excellence for our clients
- Implement scalable ELT/ETL pipelines, cloud data warehouse structures, and dimensional data models using production-grade SQL methodologies
- Design and implement intuitive, enterprise-grade dashboards and semantic models using tools like Power BI to drive data-driven decision-making and client analytics strategies
- Utilize advanced proficiency in SQL and Python for complex data manipulation, workflow automation, and pipeline orchestration
- Partner with project leads to enforce rigorous security best practices, including role-based access control (RBAC) and data encryption metrics
- Develop and maintain comprehensive technical documentation for data flows, schemas, and operational processes to ensure long-term clarity
- Rapidly master cutting-edge, cloud-native technologies to keep pace with advancements in modern AI, DataOps, and the broader cloud ecosystem
- Acquire deep domain expertise across diverse client industries, including healthcare, retail, insurance, manufacturing, and beyond
Requirements:
- Bachelor's degree or higher, ideally in Computer Science, Information Technology, Information Systems, or a similar field
- 1–2 years of experience delivering high-impact data solutions within fast-paced, customer-centric environments
- 1–3 years of hands-on experience with cloud-native data tools such as dbt, Azure Data Factory, AWS Glue, or Databricks
- Expert-level command of SQL alongside practical experience using Python for script automation and complex dataset parsing
- Proven experience designing enterprise-grade data visualizations, dashboards, and semantic models specifically within Power BI
- Practical exposure to modern cloud database environments like Snowflake, Azure Synapse/SQL, AWS Redshift, or GCP BigQuery
- Understand the fundamentals of ELT architectures, dimensional modeling, version control via Git, and modern CI/CD principles
- Embody core strengths such as Accountability, Adaptability to shifting business needs, Business Acumen, and a relentlessly Innovative mindset