Data Engineer (Pandas & NumPy) @ Sunscrapers (práce v Polsku)

Data Engineer (Pandas & NumPy) @ Sunscrapers

Polsko

Requirements

• At least 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, etc. 
• 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. 

Nice-to-Haves

• Experience with cloud infrastructure (AWS, GCP, Azure). 
• DevOps skills (CI/CD, containerisation). 
• Familiarity with Plotly Dash for interactive data visualisations. 

Sunscrapers is a technology consultancy that empowers finance and healthcare leaders to succeed by leveraging cutting-edge software, data, and AI.

We combine world-class engineering, deep industry expertise, and proprietary know-how to deliver innovative, high-impact solutions. Specializing in software engineering, DevOps, data engineering, and data science, we design and build AI-powered data platforms and web applications tailored to each client’s unique needs.

Trusted by over 60 clients across the US, UK, and beyond, we consistently maintain a 4.9/5 client satisfaction rating, with partnerships averaging five years or more.

The Project is for the leading fintech specialising in buy-side brokerage services. Their industry leading software provides portfolio managers with differentiated trade idea creation, optimisation, and execution services.  

They currently cover interest rate derivatives for the largest hedge funds in New York, London, Dubai, and Geneva. 

The Role:

As a Data Engineer, you will play a pivotal role in supporting and scaling the data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as providing high performance data access interface to support analytical software. This is a great opportunity to lead development of the critical part of product architecture. 

What do we offer?

• 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 the necessary tools to conquer the universe (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. 
• We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth! 

,[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: Data engineering, Python, pandas, NumPy, Airflow, Cloud, AWS, GCP, Azure, CD Additionally: Sport Subscription, Private healthcare, Remote work, MacBook, Flexible working hours, Flat structure, Small teams, International projects, Modern office, Kitchen, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages, In-house trainings, Startup atmosphere, No dress code.

Kategorie

data

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