Remote Data Engineering Lead — AI Platform & Growth

LGT Capital Partners; Freienbach; Hybrid; CHF 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Home office allowance

Work-from-home options

Internal and external training

Zusammenfassung

LGT Capital Partners in Switzerland is seeking an experienced team leader to grow a high-performing data engineering group and own the delivery of an enterprise data platform across a complex landscape.

You will set technical direction, hire and mentor staff, ensure platform adoption, and collaborate with architecture, software, and AI teams to build reliable, scalable data solutions that align with business goals.

Qualifikationen

• Track record delivering large-scale, complex products in demanding environments.
• Proven experience (5+ years) leading engineering teams, including people leadership, hiring, coaching, and performance development.
• Experience operating platforms in production at scale, including monitoring, incident management, and driving reliability and operational efficiency over time.
• Strong hands-on expertise across hybrid architectures, both transactional/operational systems and analytical platforms (data warehouses, lakes), and how to integrate them; Knowledge and experience with Azure, Snowflake, dbt and Python are of advantage.
• Solid engineering fundamentals spanning both classical core software engineering practices (e.g., testing, architecture patterns, CI/CD) and modern data engineering (e.g., pipeline design, data modeling, cloud data platforms, data observability).
• Ability to operate at different levels: technically strong to make hands-on contributions and credible technical calls, while equally committed to the people side of the role developing a high performing team.
• Good understanding of how AI is changing engineering practices, from AI-assisted development and testing to its implications for data platforms and team ways of working.
• Strong stakeholder management, able to work with architecture, product, and business functions and translate between them.
• Excellent English oral and written communication skills; German is a plus.

Aufgaben

• Build, lead and grow a high-performing team of data engineers, including hiring and talent development, balancing hands-on technical involvement with people leadership as the team scales, and fostering a culture of ownership, business orientation, quality, and continuous improvement;
• Own the IT delivery of data engineering initiatives across a complex, large-scale landscape, collaborating with multiple teams and stakeholder groups to ensure reliable outcomes in a demanding and fast-paced business environment;
• Partner with other engineering disciplines (software, integration and AI) as well as architecture to contribute to devising the technical direction for the data platform / data engineering products and ensure synergies are exploited across the various teams;
• Drive the adoption of AI within data engineering, from AI-assisted development and tooling to embedding AI-driven capabilities into data pipelines and platforms;
• Ensure operational excellence across the data platform, keeping it reliable, cost-effective, and performant while continuously working to minimize operational efforts and overhead;
• Collaborate with the relevant IT and platform management organizations to drive the implementation of data quality, observability, and governance topics within the data platform.

Kenntnisse

People leadership

Data engineering

Hybrid architectures

Azure

Snowflake

dbt

Python

CI/CD

Data modeling

Observability

Stakeholder management

Tools

Azure

Snowflake

dbt

Python

Jobbeschreibung

LGT Capital Partners in Switzerland is seeking an experienced team leader to grow a high-performing data engineering group and own the delivery of an enterprise data platform across a complex landscape.

You will set technical direction, hire and mentor staff, ensure platform adoption, and collaborate with architecture, software, and AI teams to build reliable, scalable data solutions that align with business goals.