Azure Data Engineer 1
Syensqo ·
- Category
- Data engineering
- Experience
- 7+ years
Syensqo ·
Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.
Job overview and responsibilities*
Describe the main assignments and responsibilities, including management responsibilities
Do you thrive on supporting complex data solutions that drive business success? Are you ready with our data engineers to elevate data integration, storage and services to new heights shaping the future of advanced materials? To push further the creation of value thanks to data & AI? If yes, you are the one we are looking for.
About Syensqo
Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come that do data & AI supporting our business.
Role Overview
Syensqo is building a next-generation enterprise data platform on Microsoft Azure to enable scalable, real-time, and AI-driven analytics across the organization. We are seeking experienced Data Engineering experts to design, develop, and optimize this cloud-native ecosystem.
The role involves integrating data from multiple enterprise systems, establishing robust and automated data pipelines, implementing strong governance and security frameworks, and delivering high-quality, analytics-ready datasets. The ideal candidate will bring deep technical expertise, a proactive mindset, and the ability to build reliable, enterprise-grade data solutions at scale.
The platform will support cross-functional analytics across key business domains such as Sales, Industrial, R&I, HR, Finance and Operations enabling advanced analytics and AI-driven insights.
Key responsibilities:
Participate in building new IT capacities for the business.
Develop, monitor and maintain scalable data pipelines and platforms in production.
Respond to and resolve incident tickets related to data operations.
Optimize operational processes for efficiency and reliability.
Collaborate with the data team and its stakeholders to ensure data quality and availability.
Document operational procedures and incident resolutions.
Education and experience*
Indicate the required education in terms of minimum years of education, required type of degree, field of studies, etc. and the required knowledge and/or experience in terms of minimum years of experience in the respective field
Bachelor’s degree in Computer Science, Information Systems, or related field.
7+ years of experience in data operations, data engineering, or similar roles.
Experience with CI/CD pipeline (e.g. GitHub), data pipeline tools, SQL, and cloud platforms.
Strong problem-solving and communication skills.
Strong competency with data manipulation: Python, SQL, cloud function (Azure function), proven expertise with Azure, Kafka…
Previous experience with MS Fabric would be a strong plus.
Proficiency in BMC Helix and/or JIRA for ticket/task management and Confluence for documentation
Have a good knowledge of RUN Service and experience with development
Skills and behavioral competencies*
Indicate the required skills and behavioral competencies
Time Management and Self-management: Effectively prioritize and manage multiple incident tickets and operational tasks.
Customer Service Orientation: Proactively supports internal users and stakeholders, ensuring their data needs are met reliably and efficiently.
Accountability: Takes ownership of incidents and operational tasks, following through to resolution.
Collaboration: Works effectively with cross-functional teams, including data engineers, analysts, and IT support.
Adaptability: Remains flexible and calm under pressure, especially when responding to urgent incidents or changing priorities.
Continuous Improvement: Seeks opportunities to optimize processes and prevent recurring issues.
Resilience: Maintains performance and a positive attitude during high-pressure situations or when facing setbacks.
Integrity: Handles sensitive data responsibly and adheres to company policies and compliance standards.
Attention to Detail: Precision in monitoring, troubleshooting, and documenting processes.
Team spirit, building relationships, collective accountability
You love working in a collaborative environment that has a strong focus on teamwork, innovation, open minds and having fun
Language skills*
Indicate the required language skills (mandatory and optional)
Fluent in English
What’s in it for the candidate
Be part of and contribute to a once-in-a-lifetime change journey
Willing to be part of a team that is going to tackle big bets
Have a fun and work at a high pace
Be part of a forward-thinking company committed to innovation and excellence.
Work in a collaborative and inclusive environment that values diverse perspectives.
Contribute to actions that have a meaningful impact on advancing humanity.
If you are passionate about data engineering and eager to make a difference, we invite you to apply for this exciting opportunity at Syensqo.
About us