Senior Data Engineer - Remote position

WTW; Madrid; A distancia; EUR 60.000 - 100.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Engineer to join their innovative team. This role involves operationalizing data extraction and managing data models in Azure, ensuring a secure environment for data storage. You'll leverage your expertise in Spark and Power BI to develop and maintain data models, while also supporting ETL processes and data pipelines. With a comprehensive remuneration package and opportunities for career development, this position offers an exciting chance to contribute to cutting-edge projects in a dynamic environment. If you're passionate about data engineering and eager to make an impact, this role is perfect for you.

Servicios

Comprehensive remuneration package

Holiday package

Opportunities for internal mobility

Wide range of training courses

Formación

• Experience with Power BI Premium in enterprise environments.
• Advanced DevOps skills in Azure environments.

Responsabilidades

• Operationalise data extraction and data models in Azure.
• Develop and maintain data models built with PySpark notebooks.

Conocimientos

Apache Hive

Spark

AWS

NoSQL

Big Data

Data Warehouse

Kafka

Scala

Hadoop

ETL processes

Descripción del empleo

Please note that this remote position is open only to candidates based in the following countries:

Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Spain, and Sweden.

The role

1. Operationalise data extraction, data models, and data flows in Azure (end-to-end ingestion and distribution).
2. Configure related services, private endpoints, integration runtimes for Logic Apps, etc.
3. Configure and maintain Spark serverless pools, Power BI workspaces, workflow automation pipelines, triggers, and data storage.
4. Develop and maintain existing data models built with PySpark notebooks.
5. Store all data and IT resources in a secure and compliant environment.
6. Publish Power BI reports and manage workspaces, access, and roles.
7. Deploy, maintain, and support Git repositories, ETL processes, data pipelines in Azure Synapse, Logic Apps, etc.
8. Code PySpark notebooks to create data marts in Azure.
9. Maintain and evolve resources feeding the data flows via data models.
10. Document the code base, databases, data lakes, and ETL processes.

Qualifications

The requirements

• Ambition to master technological platforms and their evolution.
• Experience with Power BI Premium in enterprise environments with thousands of users and roles.
• Thoroughness and attention to detail in resolving incidents, bugs, and documenting the code base and data flows.
• Empathy with users and IT colleagues when dealing with the data lake.
• Advanced DevOps skills in Azure environments: networking, security, integration, configuration.
• Excellent command of spoken and written English to document technical material.
• Experience with Agile methodology and Scrum framework.

About WTW

WTW is a major player in the brokerage sector, an international consultancy and brokerage firm offering solutions in human resources, business risks, and capital management to help clients better identify, understand, quantify, and manage risks of all kinds.

The WTW Group employs 45,000 people and operates in over 140 countries.

Benefits of joining us

• A comprehensive remuneration package including fixed salary, variable pay, bonuses, and employee savings schemes.
• A holiday package and other benefits to promote work-life balance.
• Opportunities for internal mobility within the Group, including career development, national and international mobility, and skills development.
• A wide range of training courses, both face-to-face and online.

Follow us on LinkedIn for more information.

We are an equal opportunities employer.

Required Experience

Senior IC

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala

Employment Type: Full-Time

Experience: Years

Vacancy: 1

Position: Senior Data Engineer • Madrid, Madrid, Spain