Overview
About CBTW
CBTW is a global independent tech consultancy group. With a team of more than 3,000 talented tech specialists on the ground in over 35 cities across Europe, the USA, Asia, Australia and Africa, we serve clients of all sizes. We believe collaboration betters our world. Our unique open ecosystem model allows us to deliver end-to-end tech solutions.
Responsibilities
We are looking for an experienced Senior BI Engineer to play a critical role covering product innovation and data integrity. You will split your expertise between enhancing the JobAdder Analytics Product (Looker/Python/SQL) and supporting our Internal Business Intelligence ecosystem (Tableau/DWH Strategy). Most importantly, you will own the "Single Source of Truth," ensuring every KPI across the company is documented, governed, and technically sound.
1. Product Engineering
- Full accountability for the LookML codebase, including expert-level query performance tuning and optimization within Looker-specific constraints
- End-to-end responsibility for SQL and Python scripts. This includes navigating SQL Server environments to manage the tables and views that power Looker models.
- Rigorous peer code reviews in GitHub to maintain high-quality standards.
- Balance "Business as Usual" (BAU) support and troubleshooting with the development of long-term product features and releases.
- Partner closely with Engineering to ensure seamless product deployments and feature rollouts.
- Translate complex data logic into clear, actionable answers for non-technical stakeholders and act as a technical escalation point for client queries.
- Work synchronously with Database Analyst, Cloud Engineering, Engineering, and Product teams to ensure technical alignment and operational excellence.
- Lead upskilling sessions and maintain a "positive mindset" toward documentation, ensuring the team remains scalable and well-informed.
- A drive to master emerging technologies and keep pace with industry trends.
- Meticulous approach to data validation, code integrity, and documentation.
- Foster a culture of continuous learning within the team.
2. BI Delivery & DWH Strategy
- End-to-End Reporting: Gather stakeholder requirements, guide DWH developers on table structures, and implement polished visualizations in Tableau.
- Architect’s Partner: Define functional requirements for the Data Warehouse. While you won’t build the pipelines, you will guide Star Schema design to ensure optimization for high-performance reporting.
- Metrics Governance: Take full ownership of the JobAdder "Metric Store." Lead the sign-off process to ensure definitions are consistent across all departments.
- Root-Cause Investigation: Use advanced SQL profiling to perform deep-dive audits and investigate why "the numbers don't look right," bridging the gap between business expectations and raw data.
- Documentation & KT: Maintain rigorous documentation for governed metrics. You believe a dashboard is only as good as the metadata behind it.
Qualifications
- Advanced SQL & Python: Mastery of SQL for data profiling and auditing; proficiency in Python for data manipulation and automation.
- Business Intelligence Power User: o Tableau: Expert level (LODs, parameters, performance optimization) for internal reporting. o Looker (Preferred): Strong LookML expertise for governed, client-facing self-service reporting.
- DWH Literacy: Deep understanding of Dimensional Modeling (Facts vs. Dimensions) and how to advocate for patterns that improve report usability.
- AWS Knowledge (Good to have): Familiarity with the AWS data stack (Redshift, S3, Glue)
- Data Science Foundation (Good to have): Familiarity with Data Science to support upcoming product features and internal business reporting models.
- Excellent verbal and written English communication skills, with a focus on brevity and impact.
- Seamlessly jump between high-level product feature work and internal BAU (Business as Usual) support tickets.
