обновлено 4 дня назад
Medior Data Engineer (Databricks & Lakehouse Platform)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Medior Data Engineer (Databricks & Lakehouse Platform): Building reliable cloud-native batch and streaming pipelines and governed lakehouse datasets for Fugro’s global operations with an accent on Databricks, Delta Lake, medallion architecture, and data quality. Focus on designing scalable PySpark and Spark SQL transformations, implementing observability and lineage-aware governance, and delivering production-ready data products for BI, analytics, and AI.
Location: Hybrid in Nootdorp, Netherlands; flexible working hours and the ability to work from home in accordance with manager approval and corporate policies.
Company
is a global geo-data company building a modern cloud-based lakehouse platform on Databricks to provide governed data at scale.
What you will do
- Engage with stakeholders to understand business challenges and translate requirements into data solutions and products.
- Design, build, and maintain cloud-native batch and streaming pipelines on Databricks using Lakeflow, Delta Lake, and orchestration tools.
- Implement bronze, silver, and gold medallion architecture to deliver trustworthy and performant datasets.
- Develop transformations with PySpark and Spark SQL, and standardize reusable engineering patterns.
- Own data quality, observability, monitoring, alerting, operational reliability, and runbooks.
- Collaborate with platform, analytics, engineering, data science, and domain teams to deliver production-ready data products.
Requirements
- 3–6 years of experience in data engineering or equivalent experience delivering production-grade cloud pipelines.
- Hands-on experience with Apache Spark on Databricks.
- Strong Python and SQL skills.
- Experience building reliable batch and/or streaming data pipelines.
- Experience with AWS, Azure, or GCP, including cloud storage and security concepts.
- Knowledge of lakehouse principles, Delta Lake, incremental processing, data governance, ingestion patterns, and data contracts.
Nice to have
- Experience with Unity Catalog, including governed access, documentation, permissions, and lineage.
- Experience balancing reliability, performance, and cost in data engineering solutions.
Culture & Benefits
- 29 holidays per year for full-time employment, with the possibility to purchase 12 additional days.
- Career and training opportunities nationally and internationally.
- Commuting allowance, modern pension scheme, and collective health insurance.
- Corporate fitness plan and coaching through the Employee Assistance Program.
Hiring process
- Automated application confirmation followed by a first interview when there is a match.
- Successful candidates proceed to a second interview.
- An offer may follow a successful second interview.
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