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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.
The project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of the infrastructure and data platform, and very recently we also build and experiment with Gen AI applications. The client operates very widely in the world of finance, loans, investments and real estate. As a Senior Data Engineer you’ll design and implement core systems that enable data science and data visualization at companies that implement data-driven decision processes to create a competitive advantage. You’ll build data platform for data and business teams, including internal tooling, data pipeline orchestrator, data warehouses and more, using: Technologies : Python, Terraform, SQL, Pandas, Shell scripts Tools : git, Docker, Snowflake, Pinecone, Neo4j, Jenkins, Jupyter Notebook, OpenAI API, Apache Airflow / Astronomer, Kubernetes, Artifactory, Windows with WSL, Linux, Gitlab AWS : EC2, ELB, IAM, RDS, Route53, S3, and more The ideal candidate will be well organized, eager to constantly improve and learn, driven and, most of all - a team player! Developing PoCs using latest technologies, experimenting with third party integrations Creating solutions that enable data scientists and business analysts to be self-sufficient as much as possible. Finding new ways how to leverage Gen AI applications and underlying vector and graph data storages Contributing data technology stacks including data warehouses and ETL pipelines Building data flows for fetching, aggregation and data modeling using batch and streaming pipelines At least 5+ years of professional experience in data-related role Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar Expertise in Python and SQL languages Experience with data warehouses (Snowflake) Experience with different types of database technologies (RDBMS, vector, graphs, document based, etc.) Expertise in AWS stack and services Great analytical skills and attention to detail - asking questions and proactively searching for answers Excellent command in spoken and written English, at least C1 Creative problem-solving skills Excellent technical documentation and writing skills Ability to work with both Windows and Unix-like operating systems as the primary work environments Understanding of LLMs fine tuning, embedding and vector semantic searching Familiarity with data visualization in Python using either Matplotlib, Seaborn or Bokeh Proficiency in statistics and machine learning, as well as Python libraries like Pandas, NumPy, matplotlib, seaborn, scikit-learn, etc Experience in building ETL processes and data pipelines with platforms like Airflow or Luigi Knowledge of any Python web framework, like Django or Flask with SQLAlchemy Experience in operating within a secure networking environment, like a corporate proxy Working alongside a talented team of software engineers who are changing the image of Poland abroad Flexible working hours and remote work possibility Sounds like a perfect place for you?