Data Engineer

Let's start with the role We are advancing our cloud data ecosystem to empower teams across the company with dependable, high-quality data. As a Data Engineer , you will drive the architecture and implementation of critical data initiatives that fuel our business growth. If you are looking to combine hands-on technical ownership with meaningful business impact, this role offers the platform to shape how our organization scales with data.

As a Data Engineer, you will: Build and maintain our lakehouse following medallion standards: layer design, naming conventions, environments, and data quality rules; Deliver large, multi-source data projects from design to production; Develop reliable, idempotent ingestion pipelines (batch and streaming) from databases (including CDC), APIs, and files; Build and maintain silver and gold pipelines so the BI team can rely on trusted, performant data; Put security and governance in place: access control, masking, data classification, lineage, and metadata; Build observability into every pipeline: monitoring, alerting, data quality checks, and incident procedures; Deploy through CI/CD, support infrastructure as code, and help monitor platform reliability and cloud cost; Contribute to technical decisions and code reviews, and keep documentation and runbooks in our repositories.

Requirements

What you bring 3+ years in data engineering, with large, multi-source projects delivered in production; Production lakehouse experience on Azure (Databricks, Fabric, or Synapse) with Delta Lake, including a catalog and governance tool such as Unity Catalog; Strong Python, Py. Spark, and SQL, with good engineering habits: Git, testing, and code review; Solid data modeling (star schemas, slowly changing dimensions); dbt or similar is considered a plus; Hands-on experience with an orchestration tool (Airflow, Data Factory, Dagster, or Databricks Workflows) and CI/CD; Familiarity with infrastructure as code (Terraform or Bicep); Good understanding of data security (access management, encryption, masking) and data quality practices; Experience with streaming (Kafka, Event Hubs, Structured Streaming) is a plus; Clear English and comfort working with non-technical colleagues, including agreeing metrics and business rules with BI analysts.

Benefits

Stoiximan Perks 🕒 Hybrid flexibility - work your way 💰 Competitive pay & annual bonus - rewarding great performance 🩺 Comprehensive health & life insurance - for you and your loved ones 💼 Private pension plan - investing in your future 👶 Nursery/childcare voucher - supporting working parents 🍽️ Monthly lunch allowance - enjoy good food on us 🏃♂️ Onboarding buddy - because starting strong matters 📖 Access to Udemy & ongoing learning - keep growing your skills 🤝 360° peer feedback - real insights, real growth 💪 Wellbeing perks - gym discounts, nutrition sessions & more 🍏 Fresh fruit, always - stay energized throughout the day