Analytics Engineer

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia and India.
We are a valued partner to many of the worlds largest international financial services and insurance firms.
We support our clients at all project management stages from the development of strategies and operational frameworks to the technical implementation and handover.
Our expertise in business and technology combined with our methodic approach enable us to create sustainable added value for our clients business.
About the job: About the Role: Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies.
Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable plans.
Architect and implement software systems that adhere to industry standards and regulatory requirements.
Conduct code reviews and provide technical guidance, and mentor junior team members to foster a culture of continuous learning and improvement.
Work with cutting-edge data products and platforms, notably Palantir Foundry and Palantir AIP.
Participate in testing, release cycle, and QA processes relating to client deployments.
Collaborate with internal and external stakeholders to troubleshoot issues, implement solutions, and successfully deliver software projects within established timelines and budgets.
Stay abreast of emerging technologies, trends, and advancements in the financial services industry to drive innovation and maintain our competitive edge.
About you: 2-5 years of experience delivering technology projects with financial institutions or enterprise firm.
Bachelors Degree in a quantitative field (Computer Science, Data Science, Actuarial Sciences, etc).
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
Strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges.
Experience writing data transformation and application code, particularly in Python and Typescript/Javascript.
Experience with Spark and big data technology.
Familiarity with REST APIs and cloud technologies (AWS, Azure, Google Cloud).
Why us: Flexible working hours with part-time working models and hybrid options.
Attractive fringe benefits and salary structures in line with the market.
Modern and central office space with good public transport connections.
Can-do mentality and one-spirit culture.
Varied events and employee initiatives.
Your documents to start the process: Resume.
Job references.
Qualifications (bachelor/ master diploma, etc) with certificate of grades.
Motivation letter: Why SynpulseWhy youWhy this function.
Recommendation letters (optional).