Roles:
Data
Must-have skills:
PythonSQL
Nice-to-have skills:
Spark
Considering candidates from:
Europe, Austria, Czech Republic, Hungary and Slovakia
Europe, Austria, Czech Republic, Hungary and Slovakia
Work arrangement: Onsite
Industry: Financial Services
Language: English
Level: Middle
Required experience: 3+ years
Relocation: Paid
Visa support: Provided
Size: 11 - 50 employees
Data Engineer
Financial Services company
Vienna, Austria
Company
Our client is a technology-led hedge fund founded in 2015, passionate about collecting, cleaning, transforming, and storing data to feed trading strategies. Its data driven trading models utilize a variety of open-source technologies and multiple data sources, from vendor APIs to fleet of web crawlers running 24/7, to make trading decisions in the global markets. The firm manages assets on behalf of a diverse range of clients including pension plans, insurance companies, financial institutions, family offices, qualified individual investors, among others.
Description
Tasks:
Partnering with the investment team and data scientists, you will develop solutions that enable the investment team to efficiently extract insights from data. This includes handling the entire data flow, from acquisition to transformation into actionable insights using SQL and Python, data storage management, and designing accessible interfaces (APIs)
Partnering with the investment team and data scientists, you will develop solutions that enable the investment team to efficiently extract insights from data. This includes handling the entire data flow, from acquisition to transformation into actionable insights using SQL and Python, data storage management, and designing accessible interfaces (APIs)
- Design and implement scalable ETL solutions (structured and unstructured; batch and streaming).
- Building data pipelines, standardizing, and cleansing data for the investment team
- Define and set best practice standards surrounding data (i.e., data modeling, database design, ETL design, job scheduling, and monitoring, etc.)
Must-have:
- Proficiency in Relational database engineering and NoSQL database engineering is required
- Proficiency in AWS services
- Strong programming background with experience coding in Python
- Be able to succinctly present recommendations at an executive level
- Strong analytic and strategic thinking skills
Nice-to-have:
- Experience with any of the following systems/tools is a plus: Apache Airflow, Jupyter, Kafka, Docker, Kubernetes
- Experience with CI/CD
- Familiarity with the mechanics of securities markets and exchanges is a plus but not required
- A bachelor’s in a technology-related field (e.g., Engineering, Computer Science, etc.) is required; a Master’s or Ph.D. degree would be ideal
- AWS certification
- Familiarity with the mechanics of securities markets and exchanges
- Knowledge of developing highly scalable distributed systems using open-source technologies, such as Spark, Dask, or Hadoop
Benefits and conditions:
- Trial period: 1 month
- Annual bonus
Interview process:
- Intro call with Toughbyte
- Call with the Hiring Manager (30 min - 1 hr)
- Coderbyte challenge (75 min)
- Call with the Tech lead (30 min - 1 hr)
- Call with the Tech Analyst (30 min - 1 hr)