# Senior Data Engineer [Sytac](https://gurify.com/jobs?q=Sytac) · Amsterdam · Posted 8 months ago Senior [Data](https://gurify.com/jobs/data) [Apply on the original posting → (opens in a new tab)](https://job-boards.eu.greenhouse.io/sytac/jobs/4761022101) ## Job description At Sytac, we build high-performing engineering teams for leading organizations in the Netherlands and beyond. We combine a pragmatic, people-first culture with strong technical craftsmanship, giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships. For one of our enterprise clients in a data-intensive domain, we are looking for a Senior Data Engineer to help build and maintain scalable, reliable, and production ready data pipelines. You’ll work on batch and streaming data products that power analytics, reporting, and AI/ML use cases across the organization. This is a high-impact role requiring deep expertise in modern lakehouse architectures, cloud-native data tooling, and robust engineering practices focused on reliability and ownership. ### What you’ll do - Design, build, and operate end-to-end data pipelines across Azure (ADF/Databricks) or GCP (Dataflow/BigQuery). - Implement lakehouse patterns (Delta Lake, medallion architecture) for scalable and reliable data products. - Deliver batch and streaming pipelines using technologies such as Kafka, Pub/Sub, or Event Hubs. - Write high-quality, production-grade code in Python and SQL to process and transform large datasets. - Apply strong engineering principles to data modelling, quality, lineage, and governance. - Set up CI/CD workflows for data pipelines and infrastructure to ensure reproducibility and automation. - Implement monitoring and observability to ensure the health and reliability of data systems. - Optimize performance and cost across compute, storage, and orchestration layers. - Collaborate with stakeholders, including Data Scientists and ML Engineers, to translate business needs into technical solutions. - Contribute to data engineering standards and mentor the team on best practices. ### What we’re looking for - 5+ years of experience as a Data Engineer in complex cloud environments. - Strong background in Azure (ADF, Databricks) or GCP (Dataflow, BigQuery). - Expertise in Python and SQL for complex data processing and validation. - Deep understanding of Lakehouse concepts: Delta Lake, curated layers, and medallion architecture. - Hands-on experience with streaming (Kafka, Pub/Sub, Event Hubs) and batch processing. - Solid grasp of DevOps for Data: CI/CD, testing automation, and deployment pipelines. - Infrastructure awareness: Experience with Terraform or IaC is required for this senior level. - Proactive mindset: Ability to work closely with cross-functional teams in a regulated or enterprise setting. - Fluent in English + EU residency (no sponsorship). Tooling (must use in practice): Python, SQL, Spark (Databricks), Azure Data Factory / GCP Dataflow, Kafka/Event Hubs, Terraform, CI/CD (GitLab/GitHub Actions), Airflow or similar orchestratrs. ### Nice to have - Affinity with AI/ML: Experience delivering feature-ready datasets for training and inference. - MLOps exposure: Understanding of dataset versioning and feature stores. - Data Governance: Experience with tools for data lineage and cataloging. **Live in Sytac’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role. 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We combine a pragmatic, people-first culture with strong technical craftsmanship, giving engineers autonomy in real production environments, backed by a consultancy that invests in growth, community, and long-term partnerships.\u003C/p\u003E\u003Cp\u003EFor one of our enterprise clients in a data-intensive domain, we are looking for a Senior Data Engineer to help build and maintain scalable, reliable, and production ready data pipelines. 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