Senior Data Engineer

Symrise AG; Barcelona; Híbrido; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading global company is seeking a Senior Data Engineer in Barcelona. You will build a scalable data platform on Azure Databricks and collaborate with cross-functional teams to develop data-driven products. The ideal candidate has strong skills in Azure, Python, and SQL, with experience in ETL processes. This position offers a competitive salary, private health insurance, and a hybrid working model.

Servicios

Competitive salary package

Private health insurance

Life insurance coverage

Meal allowance through Ticket Restaurant

Hybrid working model

Modern workspace in Poblenou

Formación

• Strong hands-on skills in Azure Databricks, Python, and SQL.
• Experience in developing ETL pipelines and optimizing Apache Spark workloads.
• Ability to work in cross-functional environments.

Responsabilidades

• Design and manage data pipelines to support analytics and reporting.
• Collaborate with teams to gather requirements and deliver solutions.
• Implement data quality controls and monitoring mechanisms.

Conocimientos

Azure Databricks

Python

SQL

ETL pipelines

Apache Spark

Herramientas

GitHub CI / CD

Data modeling methodologies

Descripción del empleo

About the Role

Join Symrise as a Senior Data Engineer in Barcelona and play a pivotal role in shaping the future of our data landscape. You'll be instrumental in building a modern, scalable data platform on Azure Databricks, with strong support from our executive leadership. This is more than just a job; it's a chance to be a key player in our digital transformation, directly impacting strategic initiatives and high-value use cases across the company.

As part of our dynamic Data & AI Hub, you'll collaborate within Agile Scrum teams, utilizing methodologies like daily stand-ups, retrospectives, and demos, and deploying solutions through GitHub CI / CD pipelines. You'll be at the forefront of developing robust ETL processes, constructing unified cross-functional data assets, and creating data-driven products that power advanced analytics, AI applications (including exciting projects like Philyra and Symvision AI), IoT solutions, RPA workflows, and cloud-based platforms. This role offers a unique opportunity to bridge business expertise from our Sensory and Consumer domains with our global Data Engineering practice, fostering innovation and driving tangible business value.

Your Key Responsibilities

• Design, build, and manage robust data pipelines and data products to support analytics, reporting, data collection, and web applications
• Collaborate with diverse teams, including data scientists, analysts, product owners, and business stakeholders, to gather requirements, define roadmaps, and deliver impactful data solutions
• Ensure data accuracy, consistency, and quality by implementing data quality controls and monitoring mechanisms
• Contribute to the development of our Unified Cross-Functional Data Assets, working with key domains like Consumer, Samples, Research & Technology, Innovation, Procurement, and Sustainability
• Actively participate in the full software development lifecycle, from ideation and user story prioritization to deployment and operation

What You Bring To The Team

• Strong hands-on skills in Azure Databricks, Python and SQL, with proven experience in developing ETL pipelines, data models, and optimizing Apache Spark workloads. A solid understanding of concepts like shuffle, spill, and broadcast joins is highly desirable
• A curious, analytical, and proactive approach to problem-solving, with a strong desire to grow into a senior engineering role and contribute to cutting-edge projects
• Excellent communication and collaboration skills, with the ability to thrive in cross-functional environments and work effectively with both local and global teams
• A passion for staying current with industry trends, emerging technologies, and best practices in data engineering, DataOps and automated testing

Nice to Have

• Experience with cloud platforms such as Azure, AWS, or GCP
• Familiarity with SAP data integration and environments
• Data modeling expertise using methodologies like Kimball or Data Vault 2.0

Benefits

• A competitive salary package aligned with your experience and qualifications
• Private health insurance for your well-being and peace of mind
• Life insurance coverage
• Meal allowance through Ticket Restaurant
• A hybrid working model that supports work-life balance (2 days in the office per week)
• A modern, collaborative workspace in our new Tech, Data & AI Hub located in vibrant Poblenou (Barcelona)

Industry and function: Information Technology and Engineering