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Analytics Engineer - Palantir Practice

Synpulse Schweiz AG

Paris

Sur place

EUR 45 000 - 80 000

Plein temps

Il y a 30+ jours

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Résumé du poste

An established industry player is seeking a talented Analytics Engineer to join their dynamic team. In this pivotal role, you will design and implement innovative data and AI solutions tailored for financial services clients. Collaborating with cross-functional teams, you will analyze business requirements and translate them into actionable data solutions. This is an exciting opportunity to enhance operational capabilities and drive business success in a forward-thinking environment. If you're passionate about technology and eager to make a significant impact, this role offers a fantastic platform for growth and development in the financial sector.

Prestations

Attractive fringe benefits
Modern office space
Good public transport connections
Varied events and employee initiatives

Qualifications

  • Minimum 2 years experience in technology projects within financial institutions.
  • Strong analytical and problem-solving skills are essential.

Responsabilités

  • Design and develop scalable data solutions using best practices.
  • Collaborate with stakeholders to translate business needs into technical specs.

Connaissances

Python
Typescript
JavaScript
Data Transformation
Analytical Skills
Problem-Solving
Communication Skills
Agile Methodologies

Formation

Bachelor's degree in Computer Science
Bachelor's degree in Data Science
Bachelor's degree in Actuarial Sciences
Bachelor's degree in a quantitative field

Outils

Palantir Foundry
Palantir AIP
Spark
AWS
Azure
Google Cloud
REST APIs
LangChain

Description du poste

About the job :

We seek a highly skilled and motivated Analytics Engineer to join our dynamic team. You will play a pivotal role in the design, development, and implementation of data and AI solutions tailored to the unique needs of our financial services clients. As an Analytics Engineer, you will collaborate closely with cross-functional teams to deliver high-quality, scalable, and intuitive Data and Gen AI workflows that enhance our clients' operational capabilities and drive business success. In this role, you will interact with Clients, Business Analysts, and Engineers, performing the crucial task of analyzing and validating business requirements and translating them into detailed data and analytics solutions. Key responsibilities include:

  • Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies, notably Palantir Foundry and Palantir AIP.
  • Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable plans.
  • Architect, develop and implement complex software solutions leveraging data and GenAI capabilities.
  • Provide technical guidance and mentor junior team members to foster a culture of continuous learning and improvement.
  • Stay abreast of emerging technologies, trends, and advancements in the financial services industry to drive innovation and maintain our competitive edge.
  • It is necessary to re-locate to London.

You :

  • Ideally, you have a minimum of 2 years work experience delivering technology projects within Financial institutions or enterprise firms.
  • You hold a Bachelor's degree in Computer Science, Data Science, Actuarial Sciences or a quantitative field.
  • You have excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
  • You have strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges.
  • You have experience writing data transformation and application code, particularly in Python and Typescript / Javascript.
  • You have experience with Spark and big data technology.
  • Ideally, you have experience with Palantir.
  • Ideally, you are familiar with REST APIs and cloud technologies (AWS, Azure, Google Cloud).
  • Ideally, you have experience working with LLMs and LangChain.
  • Ideally, you have a good working knowledge of Agile software delivery frameworks.
  • You have experience with client-facing integration, implementation engineering, or solution architecture roles, in B2B software product companies.

Why us :

  • You are growing your skills and experiences in understanding business models of financial companies, new technologies and solutions.
  • 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.
  • Qualifications (bachelor / master diploma, etc.) with certificate of grades.
  • Motivation letter: Why Synpulse? Why you? Why this function?
  • Recommendation letters (optional).

Do you approach your tasks with commitment and enjoyment and are you convinced that teamwork achieves better results than working alone? Are you proactive and willing to go the extra mile for your clients? Are you motivated not only to design solutions but also to implement them? As a flexible and goal-oriented person, you will quickly assume entrepreneurial responsibility with us.

Do you appreciate the spirit of a growing international company with Swiss roots and a strong corporate culture? Then we look forward to receiving your online application at

Claudio Schneiter, Talent Acquisition Partner

Synpulse Switzerland AG, Thurgauerstrasse 32, 8050 Zurich

Our people are our most valuable asset. They drive our growth and anchor our success. They are experts, thought leaders, and trusted partners of our global clients. The Synpulse OneSpirit is reflected in our people and unrivaled culture of collaboration, inclusion, entrepreneurship, and fun. We are good corporate citizens in our communities and we celebrate success together with our Synpulse crypto token.

Full-time

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