Senior Data Engineer
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on Data & Analytics platforms for the automotive and finance industries, built on the AWS ecosystem. Required skills include AWS (S3, Glue, Athena), Apache Spark (PySpark), Python and SQL, and pipeline orchestration tools (Airflow, Dagster, Prefect). Responsibilities include implementing scalable architecture, developing flexible data pipelines, optimizing systems, and collaborating with analytics and business teams.

newyou can start ASAP

Senior Data Engineer

Company: Grape Up Sp. z o.o.

from: 24 June 2026
to: 24 July 2026
24 000 - 32 000net (+ VAT)/ mth.B2B contract (full-time)
20 300 - 27 100gross/ mth.contract of employment
Salary details
basic salary
Offer parameters
level:senior • expert
working mode:remote • hybrid • full office
Kraków, Grzegórzki
Kraków, GrzegórzkiStanisława Żółkiewskiego 17aView on map

Requirements

Expected technologies

AWS S3
Glue
Athena
Apache Spark
Python
SQL
Airflow
Dagster
Perfect
PySpark
AWS Data Engineering

Optional technologies

Terraform
CloudFormation
AWS
Kafka
Kinesis
Databricks
Unity Catalog
Delta Lake
Lakehouse architecture

Operating system

Windows
macOS

Our 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

Optional

  • 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

Your 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

About the project

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.

This is how we organize our work

This is how we work

in houseat the client's siteyou focus on a single project at a timeyou have influence on the technological solutions appliedyou have influence on the productagilescrum

Team members

backend developerfullstack developertechnical leaderproduct ownerproject manager

This is how we work on a project

  • Clean Code
  • code quality measures
  • code review
  • pair programming
  • TDD
  • architect / technical leader support
  • Continuous Deployment
  • Continuous Integration
  • DevOps
  • documentation
  • issue tracking tools
  • test automation
  • testing environments
Company

Development opportunities we offer

  • assistance in preparation to public speeches
  • external training
  • industry-specific e-learning platforms
  • substantive support from technological leaders
  • support of IT events
  • technical knowledge exchange within the company

What we offer

  • 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

Benefits

  • private medical care
  • sharing the costs of foreign language classes
  • sharing the costs of professional training & courses
  • remote work opportunities
  • flexible working time
  • fruits
  • integration events
  • corporate library
  • no dress code
  • video games at work
  • coffee / tea
  • drinks
  • parking space for employees
  • leisure zone
  • extra social benefits
  • baby layette
  • employee referral program
  • charity initiatives

Recruitment stages

  • 1.
    Application
  • 2.
    HR + technical interview
  • 3.
    Meeting with the Manager
  • 4.
    Offer
  • 5.
    Feedback

Grape Up Sp. z o.o.

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 cloud and AI.

This is how we work

Senior Data Engineer
20.3k–27.1k zł / mth. (CoE), 24k–32k zł / mth. (B2B)
I apply to:
Grape Up Sp. z o.o.
Kraków, Grzegórzki
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