Senior Data Engineer

Warsaw, Masovian Voivodeship, Poland

Sunscrapers

Meet Sunscrapers - an elite development shop from Warsaw that combines custom software, data engineering, and cloud to help forward thinking companies win their games.

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Are you ready to take the challenge?

We’re looking for a Senior Data Engineer 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.

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.

Requirements

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.

Benefits

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!
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Computer Science Data pipelines Data warehouse dbt DevOps Docker Engineering ETL Machine Learning Mathematics ML models Model training Pipelines Python R R&D Redshift SageMaker Snowflake SQL Terraform

Perks/benefits: Career development Competitive pay Flex hours Gear

Region: Europe
Country: Poland

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