3 часа назад
Data Engineer (Python)
16 150 000 - 18 000 000HUF
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Python): Establishing data feeds, automating integration processes, and building pipelines that centralize investment data with an accent on SQL, Python, APIs, and financial data. Focus on evaluating new data sources, integrating vendor and bank data, and supporting data-driven analysis for investment platforms.
Location: Budapest, Hungary
Salary range: HUF 16,150,000–18,000,000
Company
provides research-based data, analytics, and indexes that help global financial-market participants understand risks and opportunities.
What you will do
- Establish data feeds with custodian banks, data vendors, and other service providers.
- Automate and centralize existing data integration processes.
- Evaluate APIs and build pipelines to fetch, transform, and integrate data.
- Manipulate and migrate investment data into the internal platform using proprietary tools.
- Support leadership, clients, and the Data Team with analyses and data-driven answers.
- Collaborate with teams across the firm to deliver data integration and analysis tasks.
Requirements
- 1–3 years of experience as a Data Engineer, Data Analyst, or Financial Analyst.
- Proficiency in SQL and Python with practical experience using both.
- Ability to manage multiple priorities, meet reporting deadlines, and remain flexible with assignments.
- Ability and interest in tackling new or complex problems with modern tools and technologies.
- Bachelor’s degree in Computer Science, Engineering, or Finance is preferred.
- Familiarity with modern AI tools and AI-driven development.
Nice to have
- Knowledge of Snowflake, Databricks, Apache Airflow, or GCP.
Culture & Benefits
- Flexible working arrangements, advanced technology, and collaborative workspaces.
- Transparent compensation schemes and employee benefits tailored to the work location.
- Learning opportunities through the Global Orientation program, learning platforms, AI Learning Center, and LinkedIn Learning Pro.
- Professional growth through internal mobility, expanded roles, and new challenges.
- Inclusive environment supported by eight Employee Resource Groups.
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