Job description
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:
In the project, you’ll contribute to building a new holistic data platform for a US-based healthcare company. Leveraging AWS services, Airflow, and dbt, you’ll develop robust data pipelines and scalable architectures that enable comprehensive insight and operational efficiency.
The ideal candidate will be well-organized, eager to learn and adapt, and driven to tackle complex challenges. Most importantly, you’ll thrive in a collaborative, team-oriented environment!
Your responsibilities will include:
- Building and orchestrating data flows for fetching, aggregation and data modeling using batch pipelines,
- Integrating third-party systems and external data sources into data warehouse as well as reverse-ETL into third-party systems,
- Modeling datasets and schemes for consistency and easy access,
- Design and implement data transformations for machine learning models,
- Integrating data with machine learning model training, re-training and deployment.
What’s important for us?
- At least 5 years of professional experience as a data engineer,
- Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar,
- Excellent command in spoken and written English, at least C1,
- Expertise on AWS stack,
- Experience with infrastructure-as-code tools, like Terraform,
- Strong professional experience with Python and SQL,
- Experience in building data pipelines with Airflow (MWAA would be a plus),
- Hands-on experience with using and managing a data warehouse like Snowflake or Redshift.
- DevOps skills to automate deployment and streamline development,
- Creative problem-solving skills.
You will score extra points for:
- Hands on experience with DBT,
- Experience with AWS DMS, or other data migration or CDC services
- Strong understanding of various data modeling techniques like Kimball Star Schema,
- Experience with production-grade machine learning projects (data prep, building, training, deployment, re-training) especially using AWS Sagemaker,
- Great analytical skills and attention to detail - asking questions and proactively searching for answers,
- Good understanding of Docker,,
- Great customer service and troubleshooting skills.
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!
