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Business Intelligence Engineer
2 months ago
We are seeking a highly skilled Business Intelligence Engineer to join our team at OpenSourced - Search & Selection. As a key member of our Engineering team, you will play a pivotal role in driving data-led initiatives to inform business decisions and optimize operations.
Key Responsibilities- Data Pipeline Development: Design, develop, and maintain data pipelines between business systems and the data warehouse.
- Reporting Solutions: Build and optimize Power BI reporting solutions to meet evolving business needs.
- Data Quality Assurance: Monitor and troubleshoot data pipeline issues to ensure timely resolution.
- Query Optimization: Optimize Power BI DAX to deliver high-performing reports.
- Version Control: Manage version control of data components, ensuring robust governance of pipelines, reports, and integration processes.
- Testing and Quality Assurance: Conduct testing across all data pipeline components to ensure high-quality solutions.
- Business Partnership: Be the key point of contact for all data solutions, ensuring the business has access to the data they need to make informed decisions.
- Cloud-First Principles: Apply modern cloud-first principles to design high-standard data solutions.
- Collaboration and Communication: Collaborate with the IT and business teams to support data function improvements, helping junior staff members and bridging technical knowledge gaps.
- Project Delivery: Drive the delivery of data and business intelligence requirements across multiple projects.
- Data Quality Improvement: Develop and implement data quality improvement roadmaps for core applications.
- Technical Leadership: Collaborate with internal IT teams (service desk, infrastructure, security, software engineers) to ensure smooth delivery of solutions.
- Problem-Solving and Analysis: Proactively suggest and implement data quality improvements to drive business benefits.
- Agile Project Management: Manage sprints within agile project management guidelines to ensure timely delivery.
- Communication and Stakeholder Management: Provide clear analysis, plans, and timescales for delivering key functionality across different departments.
- Technical Expertise: Strong experience with Python or TypeScript.
- SQL Skills: Advanced SQL skills, with experience in Redshift or OLAP systems preferred.
- Database Concepts: Solid understanding of database concepts including DDL, DML, DQL, TCL, and DCL.
- Query Optimization: Query optimisation expertise and experience improving performance.
- Infrastructure as Code: Proficiency in Liquibase and infrastructure as code (ideally Terraform).
- Version Control Systems: Experience using version control systems like Git/GitHub and familiarity with modern DevOps principles.
- Data Integration: Expertise in integrating data from various sources (e.g. REST APIs, SOAP APIs, S/FTP servers, GraphQL, webhooks).
- AWS Serverless Infrastructure: Experience with AWS serverless infrastructure (e.g. API Gateway, Lambda, SQS, SNS, Kinesis).
- ERP and Financial Systems: Familiarity with ERP and financial systems, along with a basic understanding of financial processes (e.g. ledgers).
- Agile Project Management: Experience working in an agile environment and understanding agile project management principles.
- Communication and Stakeholder Management: Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem-Solving and Analysis: Strong problem-solving skills and attention to detail.
- Data Modelling Principles: Knowledge of data modelling principles and relational database management systems.
- Technical Leadership: Technical leadership experience is highly desirable.
- Competitive Salary
- Dynamic and Fast-Paced Environment
- Exposure to Cutting-Edge Technologies and Projects
- Professional Development Opportunities
- Regular Team Events and Socials
This is an excellent opportunity for a Business Intelligence Engineer looking to take their career to the next level in a company committed to data-driven decision-making and innovation. If you're passionate about data, technology, and making an impact, we'd love to hear from you.
