Team Lead - Data Engineering

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

Job Description

Within the Solution Architecture and Engineering IT organization, we are looking for an experienced team leader to grow a high-performing engineering team while owning and contributing to the delivery of an enterprise data platform and other initiatives across a complex landscape.

This role combines people leadership with deep technical ownership: you will lead a team of data engineers, set technical direction, and ensure delivery across systems that span both transactional and analytical architectures.

The role carries firm-wide impact, ensuring, in collaboration with the platform management team, that the data platform is not only delivered but adopted across the organization, and built to support the company's technology landscape as it evolves.

The Key Tasks Include

• 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.

Requirements

• Track record delivering large-scale, complex products in demanding environments with significant technical and organizational complexity;
• Proven experience (5+ years) leading engineering teams, including people leadership, hiring, coaching, and performance development;
• Proven 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;
• Communicates with confidence and clarity, distilling technical and delivery trade-offs into language that lands with engineers and business stakeholders alike;
• Experience in financial services and/or asset management is an advantage.
• Excellent English oral and written communication skills; German is a plus.

What You Can Expect

• We provide modern working conditions, including work-from-home options, flexible hours and a home office allowance to ensure staff members have a work environment equipped with the latest technology;
• A diverse culture founded on mutual respect, teamwork and appreciation awaits you at LGT Capital Partners. We go the extra mile to generate impact;
• We empower and invest in you: your professional development and personal growth are our priority. We offer various internal and external training opportunities that are aligned with your ambitions and our business needs. If you are interested, you can also enhance your German or English language skills;
• We are proud to be owned by the Princely Family of Liechtenstein and our company is inspired by its entrepreneurial spirit;
• Commitment to ESG: our approach to business is influenced by the Princely Family’s long-term perspective. Sustainability is key for us and has shaped our actions since 2002;
• You benefit from favorable terms and conditions if you wish to participate in LGT Capital Partners’ investment programs or to use LGT banking products and services.

Contact Information

Alexandra Hohermuth
Human Resources
LGT Capital Partners AG, Pfaeffikon

[phone]