Senior Data Engineer

Concentrix; Cádiz; A distancia; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

A global technology and services leader is seeking a Senior Data Engineer to implement Azure Databricks solutions for automating tax reporting. This full-time position requires 8+ years of experience, advanced knowledge in Python, and proven skills in Spark and SQL. Join the team and advance your career while delivering innovative data engineering solutions in a dynamic environment.

Formación

• 8+ years of relevant experience required.
• Hands-on experience with Azure cloud services.
• Experience with Data as Code and version control.

Responsabilidades

• Execute data engineering projects.
• Implement data solutions using Azure Databricks.
• Optimize data ingestion and transformation.

Conocimientos

Python

Spark

SQL

Azure Databricks

Data Engineering

Docker

Kubernetes

CI/CD

Herramientas

Azure Data Factory

Azure Cosmos DB

Event Store

ADLS

Key Vault

OpenAI

Fabric

Descripción del empleo

Senior Data Engineer

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent. The Concentrix Catalyst team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as “World’s Best Workplaces,” “Best Companies for Career Growth,” and “Best Company Culture,” year after year. Join us and be part of this journey towards greater opportunities and brighter futures.

Concentrix is seeking a highly skilled Data Engineer to be part of a team of Senior Data Engineers to implement a cutting-edge Azure Databricks solution focused on automating tax reporting. This role will involve managing the ingestion of daily data feeds and producing outputs on the scale of billions of forms per client, ensuring high performance and scalability. The position is full-time permanent, and you will report to our regional lead.

What you will do

• Successfully execute data engineering projects.
• Design and implement advanced data solutions utilizing Azure Databricks to automate tax reporting processes.
• Manage and optimize the ingestion and transformation of daily data feeds, ensuring seamless data flow and integration.
• Develop and maintain scalable data pipelines and architectures for high-volume data processing.
• Collaborate with cross-functional teams to ensure alignment and integration with broader IT and business strategies.
• Drive the use of best practices in data engineering, leveraging modern tools and technologies.

What you need to have

• Senior with 8+ years of relevant experience.
• Advanced Python knowledge and software engineering skills.
• Proven experience with Spark and SQL for data engineering and analysis.
• Experience with Databricks for data ingestion and transformation.
• Hands-on experience with one or more cloud services Azure.
• Experience with Azure Data Factory, Azure Cosmos DB, Azure functions, Event store, ADLS, Key Vault.
• Experience with OpenAI and Fabric.
• Proficiency in RDBMS/NoSQL data stores and appropriate use cases.
• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker (must have) and Kubernetes (plus).
• Good communication skills, fluent English.

Location

ESP Work-at-Home

Time Type

Full time

Job ID: R1642033