Everway - Principal Data Engineer

• Design and deliver enterprise data products on Databricks - owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across the business • Lead the hard problems in the domain - entity resolution, master data, integration of acquired systems, and the engineering complexity of operating across multiple ERP and CRM platforms • Define and evolve engineering standards - dbt patterns, ingestion patterns, data contracts, testing, observability - and contribute to cross-cutting standards across the wider data function • Own data quality and contracts for the data products you ship - implementing quality checks, maintaining contracts as the interface between producers and consumers, and ensuring issues are caught early and remediated cleanly • Raise the technical bar around you - through code review, design input, pairing, and the kind of senior IC presence that lifts the engineers and analysts you work with • Translate operational complexity - multi-system landscapes, ongoing integrations, fragmented source systems - into clean, durable engineering execution that the business can rely on • Essential Criteria • Essential Criteria • 5+ years in data engineering, with demonstrable experience operating in a senior IC capacity • Hands-on production experience with Databricks • Hands-on experience with dbt • Strong SQL and Python • Experience working with enterprise data sources - CRM, ERP, or finance systems • Track record of defining and applying engineering standards across testing, CI/CD, documentation, and observability • Experience operating in complex environments - multi-system landscapes, integration programmes, or platform migrations • Strong communication skills - credible with engineers, analysts, and senior business stakeholders, and able to translate technical decisions into business impact • Desirable Criteria • Desirable Criteria • Direct experience with CRM, ERP, or finance platforms (e.g., Salesforce, Sage, SAP) as data sources • Experience leading data integration across acquired systems or major source system migrations • Familiarity with the wider Databricks ecosystem - Unity Catalog, Lakeflow, MetricFlow, DQX • Experience working within a data product operating model with defined contracts and SLAs • Background in SaaS environments • Familiarity with modern BI tools (Tableau preferred) and how data is consumed downstream