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Über
Job Description
Heritage Distribution Holdings is building a next-generation business management platform from the ground up — and we're looking for a hands-on Senior Data Engineer to deliver and scale our data strategy. As we grow rapidly through mergers and acquisitions, we face a rich and complex data environment. This role will be central to cleaning, unifying, and powering data flows across the enterprise. You'll work primarily on building and maintaining production-ready pipelines, cleaning and standardizing datasets, and ensuring data quality — while also contributing to the long-term design of our data architecture. We operate on an Azure-based infrastructure with a PostgreSQL backend and Python-scripted ETL pipelines. You'll collaborate with engineering, finance, and operations teams to make our data reliable, scalable, and analytics-ready. Key Responsibilities and Tasks
* Clean, standardize, and integrate large, messy datasets from diverse ERP, finance, and operational systems, applying AI-driven approaches for anomaly detection, data quality monitoring, and metadata enrichment. * Maintain and optimize relational database schemas (PostgreSQL), including materialized views for transactional and reporting systems. * Build and maintain ETL pipelines using Python, Airflow, DBT and related tooling — leveraging AI-powered developer tools (e.g., Copilot, Claude, Cursor) to accelerate coding, testing, and documentation. * Establish and enforce data quality rules, validation logic, and monitoring standards. * Create database connections and integrations between PostgreSQL and Microsoft applications. * Document data models, pipelines, and business logic to ensure scalability and knowledge sharing. * Collaborate with business stakeholders to understand data requirements and deliver actionable solutions. * Contribute to data governance practices, including metadata management and access controls. * Design data models to support complex ERP and operational domains. * Support vendor management and coordinate contributions from internal and external implementation teams. * Participate in tool evaluations and contribute to the evolution of our modern data stack (warehouse, orchestration, catalog, etc.).
Certifications: None required; cloud platform certifications (e.g., Azure Data Engineer Associate) are a plus. Educational Requirements: Preferred: Bachelor's degree in Computer Science, Data Engineering, or related STEM field (Not Required) Years of Experience: 8+ years of experience in data engineering or database architecture roles; nice to have: 2+ years in a lead or architect capacity Knowledge / Skills / Abilities:
* Strong experience with relational database design (PostgreSQL preferred) * Deep understanding of Modern ELT/ETL best practices and tools (Python, Airflow, dbt, etc) * Experience designing databases and integrations for ERP system * Direct experience using modern AI development tools like Copilot, Claude, or Cursor to accelerate coding, testing, and documentation." * Preferred: Familiarity with applying AI/ML services in Azure (e.g., Cognitive Services, Azure Machine Learning) for advanced data engineering use cases. * Preferred: Experience in Distribution or transactional accounting
Sprachkenntnisse
- English
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