Senior Data Engineer (Databricks / Spark / Azure)

Nouvelle opportunite : Senior Data Engineer (Databricks / Spark / Azure) chez Swisslinx AG (Zürich).

On behalf of our client, a leading global organisation, Swisslinx is looking for an experienced Senior Data Engineer to join a strategic data platform team responsible for delivering scalable, production-grade solutions supporting critical business functio
Senior Data Engineer (Databricks / Spark / Azure)
Job description:
•
Design, develop and implement scalable data platform solutions
•
Own technical features end-to-end, ensuring successful delivery into production
•
Build and optimise large-scale data processing pipelines and workloads
•
Troubleshoot performance, scalability and reliability challenges
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Contribute to architecture and technical design discussions
•
Collaborate with engineering teams and stakeholders to manage dependencies and align delivery plans
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Drive engineering best practices including code reviews, testing, documentation and operational readiness
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Proactively identify risks, bottlenecks and improvement opportunities across the platform
About the customer:
This is a hands-on engineering role suited to a senior professional who enjoys owning complex technical features from concept through to production and who thrives in large-scale, cloud-based data environments.
As a Senior Data Engineer, you will play a key role in the evolution of a strategic enterprise data platform. You will take ownership of complex technical initiatives, collaborating with engineers, architects, and business stakeholders to deliver robust, scalable, and high-performing solutions.
You will be involved throughout the full software development lifecycle, from requirements gathering and solution design to implementation, testing, deployment, and operational handover.
Requirements:
•
5+ years of experience as a Data Engineer, Software Engineer, Platform Engineer or similar
•
Strong experience with
Databricks
,
Apache Spark
and
Python
•
Solid understanding of distributed computing and large-scale data processing concepts
•
Expertise working within cloud-based environments, ideally
Microsoft Azure
•
Proven track record of delivering production-grade solutions in complex environments
•
Strong understanding of scalability, performance optimisation, reliability and maintainability
•
Background working in Agile engineering teams
•
Excellent communication and stakeholder management skills
•
Fluent English
The following are nice to have:
•
Experience within financial services, insurance or other highly regulated industries
•
Exposure to technologies such as Kafka, Flink, Snowflake, BigQuery or similar modern data platforms
•
Background supporting platform engineering or data platform initiatives
Compensation benefits:
Are you interested to work in an international environment in one of the most important financial companies worldwide? Then apply now! We look forward to receiving your full application before the deadline on Friday 5 June.

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