# Data Engineering Manager at Metyis

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead and implement technical roadmaps fo

- **Company:** Metyis (https://jobs.trythestack.co/companies/metyis)
- **Location:** Amsterdam, NL, Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, PySpark, SQL, ETL/ELT, Azure Data Factory, Azure Databricks, Azure Synapse, RESTful API, Airflow, Kubernetes, Data Governance, Data Lakes
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://metyisag.recruitee.com/o/data-engineering-manager-5?source=LinkedIn (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineering-manager-metyis

## About the role

Responsibilities:
- Lead and implement technical roadmaps for client data platforms, ensuring architecture coherence across ingestion, processing and analytics.
- Design and own end-to-end data pipelines, data hubs/lakes and data products (APIs, dashboards, automated services).
- Oversee development and operations using Python, Spark and Azure (Data Factory, Databricks, Synapse); enforce best practices and standards.
- Coach and develop engineers, promote technical excellence, and drive knowledge sharing across teams.
- Engage with stakeholders to evaluate business needs, prioritise delivery and ensure product outcomes.

Requirements:
- 5–7 years of hands-on experience in data engineering or similar lead roles, with production ETL/ELT and cloud platform experience.
- Strong SQL and data warehousing fundamentals; practical experience with Azure Data Factory, Databricks and Synapse preferred.
- Familiarity with orchestration (Airflow), containerisation (Kubernetes), RESTful APIs and data governance practices.
- Proven ability to define architecture, manage delivery and coach a small team; strong stakeholder and communication skills.
- Degree in a relevant technical discipline; prior people-management or team leadership experience is a plus.

## Responsibilities

Lead and implement the technical roadmap for client data platforms, ensuring architecture cohesion across data ingestion, processing, and analytics. Manage end-to-end data pipelines and collaborate with data scientists to deliver data products, dashboards, and insights. Coach a small team to uphold engineering craftsmanship and continuous improvement while coordinating with stakeholders.

## Requirements

5-7 years in a similar data engineering/lead role with hands-on experience building production ETL/ELT pipelines on Azure (Data Factory, Databricks, Synapse). Strong SQL, data warehousing principles, cloud architecture, and experience with Airflow, Kubernetes, and data governance. Bachelor's degree in a technical field; people management experience of a small team is a plus.

## FAQ

- **Is this Data Engineering Manager role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on Metyis's application page before applying.
- **Does Metyis offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Metyis's site.
- **Where is this role located?** The listing gives the location as Amsterdam, NL, Netherlands. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, PySpark, SQL, ETL/ELT, Azure Data Factory, Azure Databricks, Azure Synapse, RESTful API, Airflow, Kubernetes, Data Governance, Data Lakes.

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## Notes for agents

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