Senior Data Engineer

Data

Senior Data Engineer

Data
Stanisława Żółkiewskiego 17a, Kraków

Grape Up

Go to company profile
Full-time
Permanent, B2B
Senior
Remote
6 437,42 - 8 583,23 USDNet per month - B2B
5 444,99 - 7 268,92 USDGross per month - Permanent

Job description

At Grape Up, we transform businesses by unlocking the potential of AI and data through innovative software solutions.

We partner with industry leaders, from the automotive and finance industry, to build sophisticated Data & Analytics platforms that transform how organizations manage and leverage their data assets. As an AWS Partner, we work closely with AWS teams to deliver solutions built on the AWS ecosystem. Our solutions provide comprehensive capabilities spanning data storage, management, advanced analytics, machine learning, and AI, enabling enterprises to accelerate innovation and make data-driven decisions.

Responsibilities

  • Implement a scalable architecture capable of handling the high volume of simulation data

  • Build a flexible data preprocessing pipelines that are extensible and that can be integrated into customer’s existing platform

  • Optimize and enhance system setup and improve data structures following industry best practices

  • Collaborate effectively with data engineering team members while partnering closely with analytics and data science teams to meet user needs

  • Collaborate with business stakeholders and technical teams to understand data requirements, translate business needs into technical solutions

Requirements

  • Master’s degree in computer science, Data Engineering, AI, or a related field

  • 6+ years of professional experience in Data Engineering and Big Data, building production-grade data platforms and pipelines

  • Proven experience with AWS platform and AWS Data Engineering stack (S3, Glue, Athena and other)

  • Strong experience with Apache Spark (PySpark), including performance optimization, and large-scale data processing

  • Proficiency in Python and SQL for data transformations and analytics workloads

  • Experience with data pipeline orchestration (Airflow, Dagster, Prefect or similar)

  • Strong problem-solving skills and ability to work independently

  • Fluency in English, both written and spoken

  • Fluency in Polish (min. B2 level)

Nice to have

  • Databricks experience (Unity Catalog, Delta Lake and Lakehouse architecture)

  • Experience with Infrastructure as Code (Terraform, CloudFormation)

  • Data Engineer certificate (AWS or Databricks)

  • Experience with streaming tools like Kafka, Kinesis or similar 

Benefits of joining Grape Up

  • Non-corporate work environment among experienced engineers

  • Individual growth & development plan supported by cyclical feedback sessions

  • Access to knowledge platforms (e.g. Pluralsight)

  • Equipment of your choice

  • Financing of conferences, external trainings, and certifications

  • Language lessons (English, German and Polish for foreigners)

  • LuxMed private medical care

  • Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge

  • Employee referral program

  • Rewards for the success of the month and year awarded by our employees

  • Special rewards for your years with us (G-Man)

  • Integration activities

Tech stack

    English

    C1

    Polish

    B2

    Spark

    master

    SQL

    master

    Python

    master

    AWS

    advanced

    Databricks

    regular

Office location

About the company

Grape Up

Hi, we are Grape Up! Our company provides technology consulting and modern software development services for mission-critical products. We specialize in delivering innovative solutions powered by AI and cloud.
Company profile
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