Senior Data Engineer

Senior Data Engineer

Description

• Join BIC World, a community of brands dedicated to creating ingeniously simple and joyful products that have been part of hearts and homes for over 75 years. We are committed to growing our iconic and innovative brands by reimagining everyday essentials in new, sustainable, and responsible ways.

• Our culture encourages a "roll up your sleeves and get the job done" mindset, ensuring self-starters, problem solvers, and innovative thinkers can truly thrive. At BIC World, you are empowered to take ownership of your career and use your unique perspective to make a meaningful, global impact on our mission.

• The Senior Data Engineer is responsible for designing, leading, and optimizing scalable data engineering solutions that support analytics, reporting, and business decision-making across BIC. The role focuses on building reliable, scalable, and well-structured data platforms and pipelines that enable efficient data consumption by the Data & Analytics department and business stakeholders.

• The Senior Data Engineer plays a key role in shaping BIC’s growing data foundation by designing and implementing scalable data processing solutions. Working closely with business stakeholders, analytics teams, and fellow engineers, the Senior Data Engineer leverages technologies such as Power BI, Spark, and Azure-based analytics services to drive data quality, platform performance, and engineering excellence.

• In addition to hands-on development, the Senior Data Engineer provides technical leadership through mentoring, code reviews, solution design, and the promotion of engineering best practices across the Data & Analytics organization.

What You'll Do

• Design, develop, and lead the implementation of scalable ETL / ELT pipelines and data transformation frameworks
• Design, build, and optimize cloud-based analytics solutions using Azure Data Factory, Azure Synapse Analytics, Spark, SQL, and ADLS Gen2
• Lead the ingestion, transformation, and processing of structured and semi-structured data from multiple sources including databases, APIs, files, and cloud platforms
• Design and maintain analytics-ready datasets, curated data layers, reusable data models, and enterprise-scale data solutions
• Drive performance optimization initiatives across Spark workloads, SQL workloads, and enterprise data pipelines
• Lead troubleshooting, root cause analysis, and resolution of complex production incidents and data quality issues
• Collaborate with business stakeholders, BI Developers, Data Analysts, and other engineering teams to translate business requirements into scalable technical solutions
• Define and promote data engineering best practices, coding standards, reusable frameworks, and development guidelines
• Mentor and support Data Engineers through technical guidance, code reviews, knowledge sharing, and best practice adoption
• Contribute to data governance, metadata management, documentation, and platform modernization initiatives
• Participate in technica