Business Intelligence Engineer, Data Analytics, Data Science
2 days ago
We are seeking a highly skilled Business Intelligence Engineer to join our Engineering team at OpenSourced - Search & Selection. This is an exciting opportunity for a talented individual to drive data-led initiatives and inform business decisions.
Key Responsibilities- Design, develop, and maintain data pipelines between business systems and the data warehouse.
- Build and optimize Power BI reporting solutions to meet evolving business needs.
- Monitor and troubleshoot data pipeline issues to ensure timely resolution.
- Optimize Power BI DAX to deliver high-performing reports.
- Manage version control of data components, ensuring robust governance of pipelines, reports, and integration processes.
- Conduct testing across all data pipeline components to ensure high-quality solutions.
- Be the key point of contact for all data solutions, ensuring the business has access to the data they need to make informed decisions.
- Apply modern cloud-first principles to design high-standard data solutions.
- Collaborate with the IT and business teams to support data function improvements, helping junior staff members and bridging technical knowledge gaps.
- Drive the delivery of data and business intelligence requirements across multiple projects.
- Work closely with business units to understand their data challenges and drive positive change in data-driven decision-making.
- Develop and implement data quality improvement roadmaps for core applications.
- Collaborate with internal IT teams (service desk, infrastructure, security, software engineers) to ensure smooth delivery of solutions.
- Proactively suggest and implement data quality improvements to drive business benefits.
- Manage sprints within agile project management guidelines to ensure timely delivery.
- A strong technical background with experience in data engineering, software development, and business intelligence.
- Excellent SQL skills and proficiency in either Python or TypeScript.
- A deep understanding of database concepts, cloud infrastructure, and version control systems.
- Experience in designing and implementing ETL/ELT processes, developing data models, and supporting integrations from various data sources.
- Strong experience with Python or TypeScript.
- Advanced SQL skills, with experience in Redshift or OLAP systems preferred.
- Solid understanding of database concepts including DDL, DML, DQL, TCL, and DCL.
- Query optimization expertise and experience improving performance.
- Experience using version control systems like Git/GitHub and familiarity with modern DevOps principles.
- Expertise in integrating data from various sources (e.g. REST APIs, SOAP APIs, S/FTP servers, GraphQL, webhooks).
- Experience with AWS serverless infrastructure.
- Experience working in an agile environment and understanding agile project management principles.
- Knowledge of data modeling principles and relational database management systems.
- A competitive salary.
- Exposure to cutting-edge technologies and projects.
- Professional development opportunities.
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