Data Engineer
Stoiximan · Athens, Attica, Greece; Thessaloniki, Central Macedonia, Greece
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What the posting says
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- Employment typeStated
- Full time
- Work arrangementStated
- Hybrid
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Requirements, each with its sentence from the posting
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- No requirement has been itemized for this posting yet. The employer’s words are in the full posting below.
Read the full posting as the employer wrote it
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, PySpark, 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
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, PySpark, 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
The posting text is reproduced as the employer wrote it; the index adds nothing to it.