Cloud Data Engineer

Company Description

Talan is an international consulting and technology expertise group that supports and accelerates the digital transformation of its clients through the levers of technology, data, and innovation.

For over 20 years, Talan has been advising and supporting companies and public institutions in defining and implementing their transformation and innovation projects in Switzerland and internationally.

Present on 5 continents in 21 countries, the Group, certified Great Place To Work, has more than 7,000 employees.

Equipped with a Research and Innovation Center, Talan places innovation at the heart of its development and operates in areas of technological change such as Artificial Intelligence, Data Intelligence, Blockchain, to serve the growth of large groups and mid-sized companies in a committed and responsible approach.

By placing "Positive Innovation" at the core of its strategy, Talan is convinced that technology amplifies its impact on society as a whole by being at the service of humans.

Job Description

You will join an ambitious Data Platform team dedicated to designing and industrializing modern cloud-based data platforms. We are passionate about scalable architectures, innovation, and creating end-to-end solutions that give clients real analytical power.

You will be responsible for designing and deploying complex data architectures impacting companies across many sectors. You will oversee the entire lifecycle, from data ingestion to production-ready systems, creating concrete solutions that generate tangible results.

• Design and deploy cloud-native data architectures (Azure Databricks, MS Fabric, Snowflake, etc.) ready for production.
• Build robust batch and streaming ELT pipelines.
• Automate infrastructures via Terraform (IaC), and implement CI/CD practices.
• Ensure scalability, security (private networks, governance), and data quality (quality, metadata, good observability).
• Collaborate with multidisciplinary teams (ML engineers, Cloud architects, Data scientists) to build resilient, industrialized, and business value-oriented infrastructures.
• Share your expertise: define standards and upskill the team.

Qualifications

• More than 5 years of experience in Data Engineering, with a strong cloud component.
• Autonomy, result-oriented mindset, and excellent communication skills.
• Proficient in Python, SQL, Git.
• Experience with Spark for data processing.
• Expertise in data quality tools and metadata management.
• Good mastery of dbt and advanced data modeling.
• Knowledge of private and secure networks in cloud environments.
• Fluent English.

Additional Information