This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for an experienced and highly motivated Senior BI Data Engineer to join our Client's Business Intelligence & Insights team and play a key role in shaping the data foundations that power their products, analytics, and strategic decision-making. Reporting to the Director of BI, you will build scalable pipelines, robust data models, and reliable infrastructure that enable teams across the organisation to access accurate, high-quality data. This is a high-impact role for someone who enjoys solving complex data problems, thrives in an international, fast-paced environment, and is excited to design the systems that fuel insights, reporting, and machine learning at scale.
Job Responsibility:
Architect and develop scalable, resilient, high-quality data solutions to support analytics, reporting, and machine learning workloads
Design, implement, and maintain reliable ETL/ELT pipelines that integrate, cleanse, and consolidate data from diverse internal and external sources, including APIs and third-party systems
Ensure data is accurately ingested, transformed, stored, and made accessible through robust testing frameworks and clearly defined business rules
Translate business requirements into scalable data models and transformation logic, working with large, multidimensional datasets to surface insights, trends, and opportunities
Build and maintain the BI reporting codebase, ensuring high standards of data integrity, availability, and performance across the organization
Create and maintain backend infrastructure that supports analytics platforms, dashboards, and machine learning pipelines
Develop and execute unit and integration tests for data pipelines and transformation scripts to ensure reliability and consistency
Proactively identify inefficiencies and bottlenecks in data flows and propose scalable, forward-looking solutions
Partner closely with product managers, engineers, commercial teams, and business stakeholders to understand strategy and data needs, aligning delivery with the BI roadmap
Contribute to team growth through code reviews, design discussions, and knowledge sharing, while staying current with industry best practices
Take ownership of the quality, integrity, and consistency of the BI data codebase and associated datasets
Ensure ETL efficiency and data availability to meet stakeholder requirements and business SLAs
Adhere to engineering best practices, including documentation, version control, and maintainable code standards
Support and deliver against team OKRs and KPIs, contributing to overall team and business success
Requirements:
4+ years of back-end and/or data engineering experience, delivering production-grade data solutions
Demonstrated experience working in a global or international environment, collaborating across regions and time zones
Strong SQL expertise with hands-on Python scripting experience for data extraction, transformation, and analysis
Proven experience ingesting and processing data from external APIs and third-party data sources
Strong experience working with GCP cloud infrastructure and modern data warehousing solutions (ideally BigQuery)
Solid understanding of BI data architecture, with experience using version control systems such as GitHub or GitLab
Demonstrated ability to understand business logic behind datasets, ensuring high standards of data quality, consistency, and trust
Highly analytical and detail-oriented, with a focus on building reliable, scalable data solutions
Comfortable working with unstructured or imperfect data, transforming it into actionable insights
Strong collaboration skills, with experience working effectively in global, multicultural teams
Excellent communication skills, with the ability to translate complex technical concepts into clear insights for non-technical stakeholders
Nice to have:
Experience with BI and visualization tools such as Looker, Tableau, or similar platforms