Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Budapeste, Budapest, HUN
In-Office
16M-18M Annually
Junior
Fintech • Financial Services
The Role
The Data Engineer establishes data feeds with banks and vendors, evaluates APIs, builds and automates data pipelines, and centralizes integration processes. The role also involves migrating investment data, supporting analyses, answering data-driven questions, and collaborating across the firm. Candidates need SQL and Python proficiency, strong prioritization skills, and an interest in modern AI tools. Experience with Snowflake, Databricks, Airflow, or GCP is advantageous.
Summary Generated by Built In
Your Team Responsibilities

The Data Engineer will work in a fast-paced environment, engaging with a variety of investment and technology professionals inside and outside the firm. Primary responsibilities include establishing new data feeds with banks and data vendors, and supporting the growth of the Firm by centralizing and automating integration processes. Data Engineers demonstrate a high attention to detail, confidence, and entrepreneurial mindset. Candidates should be comfortable working in a team environment, while also juggling multiple priorities on tight deadlines.

Your Key Responsibilities
  • Establish data feeds with custodian banks, data vendors, and other service providers
  • Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
  • Fully automate and centralize existing data integration processes
  • Evaluate new APIs and build data pipelines to fetch and integrate their data
  • Use internal proprietary tools to manipulate and migrate investment data into the Platform
  • Interact regularly with other areas of the firm to collaborate on execution of tasks
Your skills and experience that will help you excel
  • 1-3 years of experience as a Data Engineer, Data Analyst, or Financial Analyst
  • Must be proficient and have experience with SQL and Python
  • Ability to handle multiple tasks, meet reporting deadlines, and demonstrate flexibility with delivery of assignments
  • Eagerness to tackle new or complex problems with the latest tools and technologies
  • Bachelor’s degree in Computer Science, Engineering, or Finance preferred
  • Familiarity with modern AI tools and experience with AI-driven development
  • Knowledge of Snowflake, Databricks, Apache Airflow, or GCP is a plus
About MSCI

What we offer you

  • Salary range: HUF 16,150,000-18,000,000.
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.


MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [email protected] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.


To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.


Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Skills Required

  • 1-3 years of experience as a Data Engineer, Data Analyst, or Financial Analyst
  • Proficiency and experience with SQL
  • Proficiency and experience with Python
  • Ability to handle multiple tasks, meet reporting deadlines, and remain flexible with assignments
  • Bachelor's degree in Computer Science, Engineering, or Finance
  • Familiarity with modern AI tools and AI-driven development
  • Knowledge of Snowflake, Databricks, Apache Airflow, or GCP

MSCI Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MSCI Inc. and has not been reviewed or approved by MSCI Inc..

  • Fair & Transparent Compensation Compensation is characterized as competitive in several functions, with strong total compensation cited for higher-paid roles and market-aligned packages described as a baseline.
  • Healthcare Strength Health coverage is positioned as comprehensive, including medical, dental, vision, mental-health support via an Employee Assistance Program, and care-navigation resources.
  • Retirement Support Retirement support includes a 401(k) with company contributions and automatic enrollment, plus related financial protections such as life and disability insurance and an HSA option with employer contribution when selected.

MSCI Inc. Insights

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The Company
HQ: New York, NY
5,040 Employees

What We Do

MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.

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