Summary
An experienced data engineering leader is needed to design and scale enterprise data platforms, build reliable pipelines, improve analytics capabilities, and guide engineering teams in a large-scale business environment.
Highlights
Leadership role building a modern enterprise data platform with opportunities to shape architecture, mentor engineers, and deliver scalable analytics solutions.
Description
We are seeking an experienced Senior Data Engineer & Data Platform Lead to play a key role in designing, building, and scaling a modern enterprise data platform leveraging Databricks and Microsoft Fabric.
This role combines hands-on engineering, dimensional data modelling, and technical leadership.
You will work closely with business stakeholders, analysts, architects, and engineering teams to deliver scalable, high-quality data products that support reporting, analytics, and self-service BI across a retail and POS environment.
The ideal candidate is equally comfortable defining data architecture, developing complex pipelines, optimizing platform performance, and mentoring engineering teams.
Key Responsibilities:
Data Platform Leadership
Provide technical leadership and best-practice guidance for enterprise data platform design and implementation.Own and evolve data architecture across Databricks and Microsoft Fabric.Drive technical standards for data engineering, modelling, governance, documentation, and operational excellence.Partner with business stakeholders to translate business objectives into scalable data solutions.
Data Engineering & Integration
Design, build, and maintain robust data pipelines supporting batch, incremental, CDC, and streaming workloads.Integrate data from POS, ERP, APIs, cloud platforms, and other enterprise systems.Implement scalable ingestion, transformation, and distribution frameworks.Optimize workflows for reliability, performance, and cost efficiency.
Data Modelling & Analytics Enablement
Design and maintain dimensional data models, including star and snowflake schemas.Develop reusable data products that support reporting, analytics, and self-service BI.Ensure data structures align with business processes and analytical requirements.
Data Quality, Performance & Governance
Establish data quality frameworks, automated testing, lineage, and monitoring capabilities.Optimize SQL workloads, Spark jobs, and platform performance.Drive metadata management, documentation, and governance practices.Support DevOps, CI/CD, and release management processes.
Team Collaboration & Mentorship
Mentor engineers and promote engineering best practices.Contribute to knowledge sharing and continuous improvement initiatives.Collaborate effectively with business analysts, BI developers, solution architects, and platform teams.
Required Experience:
7+ years of experience in Data Engineering, Data Platform Development, or related disciplines.Proven experience designing and implementing enterprise-scale data solutions.Strong experience building modern data platforms and analytics ecosystems.Experience working within retail, POS, or consumer-facing business environments is highly desirable.
