> Markdown version of [/jobs/ext/4053358-senior-data-engineer-snowflake](https://www.wearedevelopers.com/jobs/ext/4053358-senior-data-engineer-snowflake). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer Snowflake - **Company:** Deloitte - **Location:** Zaventem, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, ARM Architecture, Microsoft Azure, Big Data, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Python (Programming Language), Role-Based Access Control, Cloud Services, SQL Databases, Data Classification, Retrieval-Augmented Generation, Snowflake, AWS Data Analytics, Data Management, Data Pipelines - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7143db4cf862047c ## About the Role * You have 2-3 years of hands-on experience in data engineering or data platform work; * You have solid hands-on Snowflake experience and hold a Snowflake certification, or are willing to obtain SnowPro Core within your first months with us; * You are strong in SQL and comfortable writing Python; * You can build a data model from scratch and explain the choices behind it; * You have an interest in AI and GenAI and how it applies on top of a data platform; * You have a university degree or equivalent experience; * You are a team player with strong communication skills and are comfortable in front of a client; * Experience with Azure or AWS data services, or a cloud certification; * Familiarity with dbt or similar transformation tooling; * Exposure to data management frameworks such as DAMA-DMBoK, or to data quality practice; * An advanced Snowflake certification (SnowPro Advanced: Architect or Data Engineer). * You are fluent in English and in Dutch or French. Additional languages are a plus. ## Description You're not alone. We strongly believe that data and the intelligent use of it hold a lot of potential for making an impact that matters to our clients, our people and society. Join us in making this impact! Your journey with us The life of a Senior Data Engineer is very diverse. From implementing, code reviewing, and debugging data pipelines to leading large teams in complex data migrations for our clients. Your role and tasks can switch frequently depending on the project at hand, meaning that one day you might be building a data warehouse and the next you are assisting our cloud team with providing the right information for the ideal setup for a large data platform. You will be the key link between Deloitte leadership, Client leadership, your own technical team and both the technical & business teams at the client. Internally you will leverage your knowledge & experience to bring your fellow data engineers to the next level, while also build PoC's accelerators that will help our clients in getting the most out of their data., * Designing, implementing and maintaining Snowflake data platforms on Azure and/or AWS, integrated with the surrounding cloud services (storage, orchestration, identity, BI). * Connecting heterogeneous source systems - ERP, CRM, operational, financial and third-party data - into a governed central platform. * Translating business requirements into technical solutions, and challenging them where a simpler or more scalable design exists. * Data modelling: creating a conceptual model and translating it into a logical and physical one. * Building and optimizing ELT/ETL data flows (SQL, dbt, Snowpark, Python) and tuning warehouse cost and performance. * Implementing platform security on Snowflake: RBAC role hierarchies, authentication and SSO, masking and row access policies, data classification. * Enabling AI and GenAI use cases on the platform - Snowflake Cortex, vector search / RAG patterns, and the data foundations that make them work. * Contributing to client workshops, architecture design sessions and deliverables, with growing autonomy. * Supporting proposals and contributing to internal assets, accelerators and knowledge sharing., * Flexible work arrangements for all and initiatives supported by Parents & Caregivers @Deloitte * Wellbeing tips and activities powered by Energise@Deloitte * Topped off with other health benefits and insurance opportunities Empowering our employees with flexible work arrangements remains essential in today's reality: * Hybrid workplace: combination of home office and on-site (+10 offices in Belgium or client's premises). * Part-time employment: all our jobs are open to full-time or part-time work under a 90% or 80% regime.