Senior Data Engineer

<p><strong>Sunscrapers is a technology consultancy that empowers finance and healthcare leaders to succeed by leveraging cutting-edge software, data, and AI. </strong></p><p><strong>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. </strong></p><p><strong>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.</strong></p><p></p><p><strong>The Project:</strong></p><p>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.</p><p>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!</p><p></p><p><strong>Your responsibilities will include:</strong></p><ul> <li>Building and orchestrating data flows for fetching, aggregation and data modeling using batch pipelines,</li> <li>Integrating third-party systems and external data sources into data warehouse as well as reverse-ETL into third-party systems,</li> <li>Modeling datasets and schemes for consistency and easy access,</li> <li>Design and implement data transformations for machine learning models,</li> <li>Integrating data with machine learning model training, re-training and deployment.</li> </ul><p><strong>Requirements</strong></p><p><strong>What's important for us?</strong></p><ul> <li>At least 5 years of professional experience as a data engineer,</li> <li>Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar,</li> <li>Excellent command in spoken and written English, at least C1,</li> <li>Expertise on AWS stack,</li> <li>Experience with infrastructure-as-code tools, like Terraform,</li> <li>Strong professional experience with Python and SQL,</li> <li>Experience in building data pipelines with Airflow (MWAA would be a plus),</li> <li>Hands-on experience with using and managing a data warehouse like Snowflake or Redshift.</li> <li>DevOps skills to automate deployment and streamline development,</li> <li>Creative problem-solving skills.</li> </ul><p></p><p><strong>You will score extra points for:</strong></p><ul> <li>Hands on experience with DBT,</li> <li>Experience with AWS DMS, or other data migration or CDC services</li> <li>Strong understanding of various data modeling techniques like Kimball Star Schema,</li> <li>Experience with production-grade machine learning projects (data prep, building, training, deployment, re-training) especially using AWS Sagemaker,</li> <li>Great analytical skills and attention to detail - asking questions and proactively searching for answers,</li> <li>Good understanding of Docker,,</li> <li>Great customer service and troubleshooting skills.</li> </ul><p><strong>Benefits</strong></p><p><strong>What do we offer?</strong></p><ul> <li>Working alongside a talented team that’s changing the image of Poland abroad.</li> <li>Flexible working hours and remote work possibility.</li> <li>Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs).</li> <li>Fully equipped kitchen with fruit, hot and cold drinks.</li> <li>Multisport card &amp; Private medical care.</li> <li>Culture of good feedback: evaluation meetings, mentoring.</li> <li>We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!</li> </ul>