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# Data Engineer / Technical Lead

- **Company:** Yechte Consulting
- **Location:** Belgium (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Code Review, Information Engineering, Data Infrastructure, Data Structures, Data Warehousing, Performance Tuning, Power BI, Standard Sql, SQL Databases, Data Streaming, Azure Data Factory, Pyspark, Star Schema, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** June 12, 2026
- **Apply:** https://be.indeed.com/viewjob?jk=dd90b446e55f0e19

## About the Role

Do you have experience in Schematics?, * Demonstrate expert proficiency in Azure Synapse, Azure Data Factory (ADF), Mapping Data Flow (MDF), Databricks, PySpark, SQL

 * Ability to design, develop, and optimise data pipelines within the Azure ecosystem
 * Ability to support the data modeler to ensure robust, scalable, and well-modelled data structures, with strong expertise in dimensional modelling (star schema, DWH concepts).
 * Experience using Power BI and experience with semantic data modelling (preferred).
 * Natural leadership and ability to guide multiple teams.
 * Strong communication skills, both written and verbal, adapted to technical and non-technical audiences.
 * Pedagogical attitude with the ability to support learning and development.
 * Fluent in English and French.
 * Good level of Dutch (preferred)., * Analytical mindset, structured approach, and high attention to detail.
 * High level of autonomy.
 * Demonstrate technical decision-making capabilities.

## Description

Data Engineer / Technical Lead acting as technical authority within data teams, ensuring standards, quality, and best practices. Leads code reviews, coaching, and collaboration with architects. Designs and optimises Azure-based data pipelines (Synapse, ADF, Databricks, PySpark, SQL), supports data modelling, improves performance, governance, and delivery excellence in complex environments., * Serve as the technical authority for Data Engineers within a data team

 * Conduct pulls request validations, peer reviews, and ensure full compliance with data engineering standards
 * Provide coaching and guidance to junior Data Engineers
 * Contribute to the continuous improvement and maturity of data engineering practices within the organisation
 * Act as the single point of contact between Data Platform Architects and engineering teams
 * Translate architectural guidelines into actionable technical instructions for engineering teams
 * Recommend alternative technical solutions depending on the targeted DWH layer (ingestion, transformation, consumption...)
 * Participate in the definition, evolution, and continuous improvement of the data platform and the data engineering standards
 * Provide structured feedback from field experience to refine practices and tooling
 * Contribute to performance optimisation, data quality, and operational reliability


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