Senior Data Engineer

Senior Data Engineer (Databricks / Spark / Azure)
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
Contribute to architecture and technical design discussions
Collaborate with engineering teams and stakeholders to manage dependencies and align delivery plans
Drive engineering best practices including code reviews, testing, documentation and operational readiness
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
Solid understanding of distributed computing and large-scale data processing concepts
Experience 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
Experience 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
Experience 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. jid1d9dee2pn jit0623pn jiy26pn