Senior Data Engineer
About The Position
We are looking for a highly motivated and experienced Senior Data Engineer to join our growing Data & Technology team. This role will be responsible for designing, building, and scaling modern data platforms and pipelines that support business intelligence, analytics, AI initiatives, and operational decision-making across the organization. The ideal candidate combines strong technical expertise with business acumen and enjoys solving complex data challenges in a fast-paced environment. You will work closely with cross-functional teams including IT, Sales, Operations, Supply Chain, Finance, and Leadership to transform data into a strategic asset for the business.
Requirements
- 5+ years of experience in data engineering or related roles
- Strong proficiency in SQL and Python
- Experience building scalable data pipelines using modern orchestration tools (e.g., dbt)
- Hands-on experience with cloud data platforms such as BigQuery and Azure Fabric
- Experience with cloud platforms including Azure or GCP
- Strong understanding of data modeling, warehousing, and dimensional design
- Experience integrating APIs, streaming data, and third-party SaaS platforms
- Knowledge of CI/CD, Git, infrastructure-as-code, and modern engineering practices
- Strong analytical, problem-solving, and communication skills
- Ability to work independently and manage multiple priorities in a fast-paced environment
Nice To Haves
- Experience supporting AI/ML workloads and feature engineering pipelines
- Experience with Power BI, or modern BI platforms
- Knowledge of retail, distribution, supply chain, or consumer goods industries
- Familiarity with real-time analytics and event-driven architectures
- Experience with MDM, data governance, and data catalog solutions
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows
- Build and optimize enterprise data warehouse and lakehouse architectures
- Integrate data from ERP, CRM, eCommerce, WMS, POS, and third-party systems
- Ensure high standards for data quality, governance, reliability, and security
- Develop real-time and batch processing pipelines for operational and analytical use cases
- Support business intelligence and analytics initiatives by enabling clean, trusted, and accessible datasets
- Collaborate with analysts, data scientists, and business stakeholders to understand data requirements
- Optimizedatabase performance, query efficiency, and cloud infrastructure costs
- Implement monitoring, alerting, and observability for data platforms
- Drive best practices in data engineering, architecture, documentation, and DevOps/DataOps
- Mentor junior team members and contribute to the growth of the data engineering function
- Support AI and machine learning initiatives by building scalable data foundations
Benefits
- Group benefits program starting from day 1 of joining
- Year-end performance bonus
- Ongoing learning and development opportunities
- Tuition Reimbursement
- Four weeks of Vacation
- Awards for top performers and employee tenure
- Product at distributor pricing to all employees
- Company events
- EAP (Employee Assistance Program) Program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
