Data Engineer (Madrid)

Data Engineer (Madrid)

11 nov
|
MDW
|
Madrid

11 nov

MDW

Madrid

Data Engineering Specialist

Location: Spain (100% Remote)

Type: Full-time

Team: Data

About the Role

We’re looking for a Data Engineer at Specialist level to build and evolve modern data platforms on Azure, Microsoft Fabric and Databricks. The role centres on designing reliable data pipelines and data models, from ingestion to analytics-ready layers, for consulting clients across industries.

You’ll own the full lifecycle of cloud data solutions (design, development, deployment, monitoring and maintenance), working closely with clients to make sure each solution fits their business objectives.

You’ll join MDW, a consulting company specialised in Data, AI and BizApps, with offices in Geneva and Madrid and recognised as Microsoft Partner of the Year. This is a fully remote position based in Spain, adecuado for someone who enjoys ownership, client work and collaboration with an international team of experts.

Core Tech Stack

- Data platforms (primary): Databricks and Microsoft Fabric
- Cloud: Microsoft Azure (Data Factory, Synapse, Data Lake Gen2, Azure Functions, Logic Apps)
- Languages: Python / PySpark and SQL
- Architecture & modelling: Medallion Architecture, star and snowflake schemas
- DevOps & CI/CD: Azure DevOps, Git, Pipelines, Databricks Asset Bundles
- Infrastructure as Code: Terraform, Bicep, ARM or Pulumi
- Streaming (nice to have): Kafka, Structured Streaming, Delta Live Tables, Fabric Eventhouse

Key Responsibilities

- Build and evolve data solutions on Azure, Microsoft Fabric and Databricks.
- Design batch data pipelines following Medallion Architecture, from ingestion to curated, analytics-ready layers.
- Design data models (star and snowflake schemas) that support reporting and analytics.
- Automate deployments with Azure DevOps CI/CD, Databricks Asset Bundles and Infrastructure as Code.
- Deliver consulting projects across industries, working closely with clients to align solutions with their business objectives.
- Ensure data quality,



performance and reliability of pipelines in production.
- Collaborate with an international team of MDW experts and with Microsoft teams to grow together.
- Stay updated on the Databricks, Fabric and Azure data roadmaps.

Requirements

- 3–5 years of professional data engineering experience, including hands-on work with Databricks and Microsoft Fabric.
- Experience with the Azure Data Platform (Data Factory, Synapse, Data Lake Gen2, Azure Functions, Logic Apps).
- Strong skills in Python / PySpark and SQL.
- Experience designing batch data workflows, such as Medallion Architecture.
- Experience with data modelling: star and snowflake schemas.
- Experience with CI/CD in Azure DevOps, including Databricks Asset Bundles.
- Working knowledge of Infrastructure as Code (Terraform, Bicep, ARM, Pulumi or similar).
- Experience working in Agile teams.
- Strong client communication skills, ensuring effective management and a positive experience throughout the project.
- Fluent in Spanish and English.
- Must reside in Spain and have legal authorisation to work in Spain.

Nice to Have

- Real-time workflow design, such as Kafka.
- Knowledge of Structured Streaming, Delta Live Tables or Fabric Eventhouse.
- Master Data Management and governance tools (Profisee, Purview).
- Microsoft certifications such as DP-700 (Fabric Data Engineer), AZ-104 or AZ-305; DP-203 is also valued.
- Databricks certifications.

What We Offer

- Permanent employee contract (Spanish payroll).
- Competitive salary based on your experience.
- 100% remote within Spain, flexible working environment.
- 30 days of paid vacation (6 weeks).
- 3 team-building events per year.
- 100% health insurance coverage, fully paid by the company.
- Restaurant and transport tickets.
- Dedicated budget for training and certifications.
- Ownership across the full lifecycle of cloud-based data solutions.
- Modern Azure-based stack.
- Client-facing project work, where we aim to keep stable teams together across projects whenever possible.

📌 Data Engineer (Madrid)
🏢 MDW
📍 Madrid

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