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Principal Analytics Engineer
2 months ago
About the Role:
We are seeking a highly skilled and motivated Principal Analytics Engineer to join our dynamic team at Synpulse Schweiz AG. As a key member of our team, you will lead the design, development, and implementation of data and AI solutions tailored to the unique needs of our financial services clients.
Key Responsibilities:
- Lead the design, development, and implementation of robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies.
- Provide technical leadership in data engineering and analytics, mentoring junior team members to foster a culture of continuous learning and improvement.
- Architect data pipelines and ETL processes to ensure high data quality and reliability.
- Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable data solutions.
- Troubleshoot data issues, implement data solutions, and successfully deliver data projects within established timelines and budgets.
- Be responsible for the overall technical delivery of data projects, acting as a technical point of contact and escalation point for data-related questions.
- Stay abreast of emerging technologies, trends, and advancements in the data and AI space to drive innovation and maintain a competitive edge.
Requirements:
- Bachelor's Degree in Computer Science, Data Science, Information Systems, Engineering, or a related quantitative field.
- At least 8-10 years of experience in data engineering or analytics, with a strong background in delivering data projects in financial institutions or enterprise firms.
- Demonstrated experience and understanding of current trends, business models, and emerging architectures in data engineering and analytics.
- Proficiency in Python and SQL, with extensive experience in Spark and big data technologies, strong experience with data integration, ETL processes, and data platform solutions.
- Experience with cloud technologies (AWS, Azure, Google Cloud). Knowledge of Palantir Foundry is highly preferred.
- Strong analytical and problem-solving skills, with the ability to think critically and strategically about complex data challenges.
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Entrepreneurial mindset with the ability to demonstrate commercial acumen in driving business-technology decisions.
- Experience with Agile development methodologies and all aspects of the data project lifecycle.
- Passionate about teaching and providing guidance to less experienced data engineers, and collaborating with other senior engineers to develop standards.
Preferred Qualifications:
- Experience working with LLMs and LangChain.
- Experience with client-facing integration, implementation engineering, or solution architecture roles in B2B software product companies.
- Experience leading projects across teams and regions.
- Knowledge of financial services and/or insurance industries.
- Front-end development experience, including TypeScript/JavaScript, and low-code tools.
