Senior Data Engineer

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.

As a Senior Data Engineer, you’ll play a pivotal role in delivering innovative data solutions for two impactful projects.

In the first project, you’ll design and implement a custom data pipeline for a US-based venture capital firm. This involves integrating data from a CRM system, running predictive machine learning models on the dataset, and seamlessly feeding enriched insights back into the CRM to empower data-driven investment decisions.

In the second 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!