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Principal Data Engineer
Principal Data Engineer - Everway
Every mind is unique. Yet much of the world is still built for what’s considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognised and valued.
Our careers fit real life. When you join us, you’re not just taking a job. You’re joining a movement to build a more neuroinclusive world. We’re a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purpose-driven, fast-paced, with clear expectations, modern tools, and clarity to focus on what matters most.
Our people are supported and encouraged to show up as they are, with different ways of thinking valued wholeheartedly. We pride ourselves on our core values: be curious, have courage, and commit fully.
Join us at Everway—together, we can unlock the full potential of every mind.
About The Role
Everway is a growing EdTech SaaS business with a complex, multi-product data landscape. Our enterprise and commercial data—spanning CRM, ERP, finance, and revenue operations—sits at the heart of how the business runs and how leadership makes decisions. As the business grows, the engineering work behind this data is becoming more complex, not less.
We're looking for a Principal Data Engineer to bring permanent senior engineering depth into this domain. You'll be a hands-on senior IC, leading the design and delivery of enterprise data products on our Databricks lakehouse—from ingestion through to governed, contract-backed datasets consumed by analytics, business operations, and downstream AI use cases. You'll tackle the hardest problems in the domain: entity resolution, master data, integration across acquired systems, and the engineering complexity of operating across multiple ERP and CRM platforms.
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This role reports to the Director of Data Engineering and sits within the wider Data Engineering function. You'll contribute to engineering standards and shape how the data team builds and operates. This is a senior IC role with deep technical authority and influence.
Main Responsibilities
- 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 hardest technical challenges, including entity resolution, master data management, integration of acquired systems, and operating across multiple ERP and CRM platforms
- Define and evolve engineering standards, including dbt patterns, ingestion best practices, data contracts, testing, and observability, while contributing to cross-cutting standards across the data function
- Ensure data quality and contract compliance, implementing quality checks, maintaining contracts for buyer-seller interactions, and resolving issues proactively and effectively
- Raise the technical bar through code review, design input, pairing, and mentee support, fostering a team that embraces excellence
- Translate operational complexity (multi-system landscapes, integrations, fragmented sources) into clean, maintainable engineering solutions that drive business reliability
Essential Criteria
- 5+ years in data engineering, with demonstrable senior IC leadership experience (e.g., technical ownership or architectural influence)
- Production-level expertise with Databricks (data processing, notebooks, cluster management, security)
- Hands-on experience with dbt (modelling, testing, deployment)
- Strong SQL and Python proficiency (complex transformations, optimisation)
- Experience with enterprise data sources (CRM, ERP, or finance platforms)
- Track record in defining and enforcing standards (testing, CI/CD pipelines, documentation, observability)
- Expertise in complex environments: multi-system integrations, mergers/acquisitions, or large-scale platform migrations
- Clear communication skills—capable of explaining technical decisions to engineering teams, analysts, and senior business stakeholders in business-impactful terms
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Desirable Criteria
- Direct experience with enterprise platforms (e.g., Salesforce, Sage, SAP) as data sources
- Proven leadership in cross-organisational data integration (e.g., post-merger/system consolidation)
- Familiarity with Databricks ecosystem expansion (Unity Catalog, LakeFlow, MetricFlow, DQX)
- Experience working in a data-product-execution model (defined contracts, SLAs)
- Background in SaaS data architectures
- Modern BI tool fluency (e.g., Tableau), understanding of data-consumption patterns
Braga’s team is committed to diversity, equity, and inclusion (DEI), and we welcome all candidates to apply. Please upload your CV alongside your application.
Application closes: Friday 3rd July 2026. Early submission encouraged, as roles may close sooner due to demand.
Benefits & Culture
Here, you’ll enjoy: ✅ Competitive salary & performance-linked bonuses ✅ Flexible working (including location-leave and core-hour flexibility) ✅ Generous health & wellbeing benefits (including mental health support) ✅ Development investment (client education, personal growth, leadership training) ✅ Collaborative, innovative culture where ideas drive decision-making
Inclusion & Policies
We are committed to:
- A Drug-Free Workplace
- Equal Opportunity Employer (prohibits discrimination in recruitment, promotion, compensation, or termination without regard to race, colour, religion, sex, national origin, disability status, veteran status, or any other protected characteristic)
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