Data Engineer (Pandas & NumPy)

Technology consultancy empowering finance and healthcare leaders with cutting-edge software, data, and AI solutions.
Data
Mid-Level Software Engineer
In-Person
4+ years of experience
Finance · Healthcare

Description For Data Engineer (Pandas & NumPy)

Sunscrapers is a distinguished technology consultancy focusing on empowering finance and healthcare leaders through cutting-edge software, data, and AI solutions. With a proven track record serving over 60 clients across the US, UK, and beyond, they maintain an impressive 4.9/5 client satisfaction rating. The company specializes in software engineering, DevOps, data engineering, and data science.

The role is for a Data Engineer position working on a project for a leading fintech company specializing in buy-side brokerage services. Their software provides portfolio managers with differentiated trade idea creation, optimization, and execution services, covering interest rate derivatives for major hedge funds in New York, London, Dubai, and Geneva.

As a Data Engineer, you'll be instrumental in supporting and scaling the data platform, ensuring seamless data pipeline orchestration, and optimizing storage and compute resources. You'll work with technologies like Python, Pandas, NumPy, and various data pipeline orchestration tools. The position offers a blend of technical challenges and professional growth opportunities in a company known for its strong engineering culture.

The role combines technical expertise with business impact, offering the chance to work on critical product architecture while collaborating with a talented team. Benefits include flexible working arrangements, a well-equipped office in central Warsaw, comprehensive medical care, and strong support for professional development.

Last updated 8 hours ago

Responsibilities For Data Engineer (Pandas & NumPy)

  • Develop and maintain robust data pipelines
  • Integrate and manage market data feeds
  • Optimise data storage and retrieval processes for efficiency
  • Enhance and create advanced data visualisation applications

Requirements For Data Engineer (Pandas & NumPy)

Python
  • 4-6 years experience in Data Engineering or Software Engineering (data related)
  • Proficient in Python development
  • Experience with libraries/frameworks such as Pandas, Numpy, Scipy
  • Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect)
  • Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar
  • Excellent command in spoken and written English, at least C1
  • Creative problem-solving skills
  • Experience with cloud infrastructure (AWS, GCP, Azure) - Nice to have
  • DevOps skills (CI/CD, containerisation) - Nice to have
  • Familiarity with Plotly Dash for interactive data visualisations - Nice to have

Benefits For Data Engineer (Pandas & NumPy)

Medical Insurance
  • Working alongside a talented team that's changing the image of Poland abroad
  • Flexible working hours and remote work possibility
  • Comfortable office in a penthouse in central Warsaw equipped with all necessary tools (Macbook, external screen, ergonomic chairs)
  • Fully equipped kitchen with fruit, hot and cold drinks
  • Multisport card & Private medical care
  • Culture of good feedback: evaluation meetings, mentoring
  • Support for learning and professional growth

Interested in this job?

Jobs Related To Sunscrapers Data Engineer (Pandas & NumPy)

Data Engineer

Mid-level Data Engineer position at Sunscrapers, focusing on healthcare data solutions using Python, Spark, and Azure, with remote work options.

Data Engineer

Data Engineer position at 9fin, building and maintaining data infrastructure for financial analytics platform, offering hybrid work and comprehensive benefits.

Data Engineer

Data Engineer position at Deel focusing on building and maintaining scalable data infrastructure and pipelines for a global workforce management platform.

Data Engineer

Data Engineer position at Deel, building scalable data infrastructure and pipelines for a global hiring platform, with 3+ years experience required.