Senior Data Engineer/Analyst in Sunscrapers

Are you ready to take on the challenge?

The project:

As a Senior Data Engineer/Analyst  you’ll design and implement a system supporting the investment process for the US-based venture capital firm. You’ll need to integrate data from multiple systems and sources to enable data insights, machine learning and   data-driven decision processes. You’ll build  integrated data flows, data warehouse and data pipelines.

Requirements

Benefit

What do we offer?

• Culture of teamwork, professional development, and knowledge sharing ( 
• Flexible working hours and remote work possibility 
• Multisport card 
• Private medical care 
• Culture of good feedback: code reviews, evaluation meetings, mentoring. 
• Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site 

We're looking for a Senior Data Engineer/Analyst to join our team in Warsaw or remotely.

Advance your career with Sunscrapers, a leading force in software development, now expanding its presence in a data-centric environment. Join us in our mission to help clients grow and innovate through a comprehensive tech stack and robust data-related projects. Enjoy a competitive compensation package that reflects your skills and expertise while working in a company that values ambition, technical excellence, trust-based partnerships, and actively supports contributions to R&D initiatives.

What's important for us?

• At least 5 years of professional experience in data-related role, software engineering or DevOps 
• Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar 
• Excellent command in spoken and written English, at least C1 
• Expertise in Python, SQL and Linux scripting 
• Experience with data vizualization with Tableau, Sigma or other BI tools 
• Experience with Snowflake or other data warehouse 
• Experience in building ETL processes and data pipelines with platforms like Airflow or AWS services (Glue, Lambda, Batch, Data Pipelines). 
• Expertise in AWS stack, Docker as well as deployment automation 
• Great analytical skills and attention to detail - asking questions and proactively searching for answers 
• Creative problem-solving skills 
• Great customer service and troubleshooting skills 

You will score extra points for:

• Experience with infrastructure-as-code tools, like Terraform 
• Experience with DBT 
• Proficiency in statistics and machine learning, as well as Python libraries like Pandas, NumPy, matplotlib, seaborn, scikit-learn, etc 

Are you ready to take on the challenge?

The project:

As a Senior Data Engineer/Analyst  you’ll design and implement a system supporting the investment process for the US-basedventure capital firm. You’ll need to integrate data from multiple systems and sources to enable data insights, machine learning and   data-driven decision processes. You’ll build  integrated data flows, data warehouse and data pipelines.

Requirements

Benefit

What do we offer?

• Culture of teamwork, professional development, and knowledge sharing ( 
• Flexible working hours and remote work possibility 
• Multisport card 
• Private medical care 
• Culture of good feedback: code reviews, evaluation meetings, mentoring. 
• Comfortable office in central Warsaw equipped with all the necessary tools for comfortable work (Macbook Pro, external screen, ergonomic chairs) - if working on-site 

,[Designing and implementing system architecture and data flow, , Integrating third-party systems (via APIs) and external data sources into data warehouse, , Implementing integrations between systems to match and enrich data (e.g. CRM, Wiki and Slack), , Designing and building AWS infrastructure with best DevOps practices in mind, , Developing data technology stack including data warehouse and ETL pipelines, , Building data flows for fetching, aggregation and data modeling using batch pipelines, , Designing datasets and schemes for consistency and easy access, , Building and extending recommendation systems. ] Вимоги: Python, SQL, Linux, Tableau, BI, Snowflake, Data pipelines, Airflow, AWS, Docker, Analytical skills, Terraform, dbt, Machine learning, pandas, Matplotlib, scikit-learn Бонуси та переваги: Sport Subscription, Private healthcare, Remote work, MacBook, Knowledge sharing, Flexible working hours, Modern office, Free coffee, Bike parking, Playroom, Shower, Free snacks, Free beverages.