Pracuj.pl
Praca zdalna
Mid
Data Engineer
⚲ Kraków, Podgórze
15 000–26 000 zł brutto / mies.
Wymagania
- Python
- SQL
- pyspark
- Databricks
- BigData
- GCP
Opis stanowiska
Nasze wymagania:
Good problem-solving and analytical skills, with the ability to investigate technical and data-related issues.
Strong programming skills in Python and SQL.
Hands-on experience with data processing technologies such as Spark, PySpark or Scala.
Experience building and maintaining production data pipelines and data processing solutions.
Good understanding of data modelling, storage, transformation and processing concepts.
Experience with DBT or similar tools for data modelling and transformation.
Hands-on experience with at least one major cloud platform, such as GCP, Azure or AWS.
Experience with modern data platforms and services such as Databricks, BigQuery or Azure Data Factory.
Understanding of batch, streaming and event-driven data processing patterns.
Experience with DevOps and DataOps practices, including CI/CD, Git and Infrastructure as Code.
Understanding of data quality principles, automated testing and monitoring, with experience using relevant tools or frameworks.
Good understanding of scalable, reliable and observable data solutions.
Ability to work collaboratively within cross-functional engineering teams and communicate effectively with both technical and non-technical stakeholders.
A continuous improvement mindset and willingness to develop technical knowledge and contribute to engineering best practices.
Excellent command of English (written and spoken).
O projekcie:
As a Data Engineer, you will play an important role in designing, building and maintaining reliable data solutions that support Kingfisher’s data platforms and products.
Working as part of a collaborative engineering team, you will contribute to the development of scalable data pipelines and solutions, helping to ensure that data is accessible, reliable and effectively used across the business. You will work with modern data technologies and cloud platforms while applying established engineering standards and best practices.
You will collaborate closely with other Data Engineers, Software Engineers, Product teams and stakeholders to deliver high-quality data solutions that meet business needs. Along the way, you will have opportunities to strengthen your technical expertise, contribute ideas and improvements, and continue developing your skills within Kingfisher’s wider data engineering community.
Zakres obowiązków:
Design, build, test and maintain reliable, scalable and production-ready data pipelines and data solutions.
Develop and optimise data processing workflows, ensuring solutions are efficient, maintainable and cost-effective.
Work with modern cloud data platforms and technologies to ingest, transform, store and process data from a range of sources.
Apply established Data Engineering standards, design patterns and best practices across data pipelines and solutions.
Contribute to CI/CD, automated testing, monitoring and observability to support reliable deployment and operation of data solutions.
Support data quality and governance by implementing appropriate validation, monitoring and controls.
Collaborate with Data Engineers, Product teams, Architects and other technical stakeholders to understand requirements and deliver effective solutions.
Investigate and resolve data and pipeline issues, identifying root causes and implementing appropriate improvements.
Contribute to the continuous improvement of data platforms, engineering processes and ways of working.
Explore, evaluate and implement practical applications of AI in Data Engineering, identifying opportunities to improve data quality, pipeline monitoring, anomaly detection, automated testing and overall engineering efficiency.
Participate in code reviews, technical discussions and knowledge sharing across the engineering team.
Oferujemy:
15,000 - 26,000 PLN gross per month on an employment contract
Private medical healthcare at LUXMED (including dentalcare) for you and your family
Medicover sports card (Fit&More package)
Life insurance financed by the employer
30-minute lunch break included in the 8-hour working day
Work in a highly professional and stimulating atmosphere
Training & Buddy programme that will allow you to quickly adapt to your new role
Wellbeing programme for employees
Co-financing of monthly tickets for the public transport in Krakow
Comfortable working environment in the office and the possibility of home office
Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
Employee referral programme
Good problem-solving and analytical skills, with the ability to investigate technical and data-related issues.
Strong programming skills in Python and SQL.
Hands-on experience with data processing technologies such as Spark, PySpark or Scala.
Experience building and maintaining production data pipelines and data processing solutions.
Good understanding of data modelling, storage, transformation and processing concepts.
Experience with DBT or similar tools for data modelling and transformation.
Hands-on experience with at least one major cloud platform, such as GCP, Azure or AWS.
Experience with modern data platforms and services such as Databricks, BigQuery or Azure Data Factory.
Understanding of batch, streaming and event-driven data processing patterns.
Experience with DevOps and DataOps practices, including CI/CD, Git and Infrastructure as Code.
Understanding of data quality principles, automated testing and monitoring, with experience using relevant tools or frameworks.
Good understanding of scalable, reliable and observable data solutions.
Ability to work collaboratively within cross-functional engineering teams and communicate effectively with both technical and non-technical stakeholders.
A continuous improvement mindset and willingness to develop technical knowledge and contribute to engineering best practices.
Excellent command of English (written and spoken).
O projekcie:
As a Data Engineer, you will play an important role in designing, building and maintaining reliable data solutions that support Kingfisher’s data platforms and products.
Working as part of a collaborative engineering team, you will contribute to the development of scalable data pipelines and solutions, helping to ensure that data is accessible, reliable and effectively used across the business. You will work with modern data technologies and cloud platforms while applying established engineering standards and best practices.
You will collaborate closely with other Data Engineers, Software Engineers, Product teams and stakeholders to deliver high-quality data solutions that meet business needs. Along the way, you will have opportunities to strengthen your technical expertise, contribute ideas and improvements, and continue developing your skills within Kingfisher’s wider data engineering community.
Zakres obowiązków:
Design, build, test and maintain reliable, scalable and production-ready data pipelines and data solutions.
Develop and optimise data processing workflows, ensuring solutions are efficient, maintainable and cost-effective.
Work with modern cloud data platforms and technologies to ingest, transform, store and process data from a range of sources.
Apply established Data Engineering standards, design patterns and best practices across data pipelines and solutions.
Contribute to CI/CD, automated testing, monitoring and observability to support reliable deployment and operation of data solutions.
Support data quality and governance by implementing appropriate validation, monitoring and controls.
Collaborate with Data Engineers, Product teams, Architects and other technical stakeholders to understand requirements and deliver effective solutions.
Investigate and resolve data and pipeline issues, identifying root causes and implementing appropriate improvements.
Contribute to the continuous improvement of data platforms, engineering processes and ways of working.
Explore, evaluate and implement practical applications of AI in Data Engineering, identifying opportunities to improve data quality, pipeline monitoring, anomaly detection, automated testing and overall engineering efficiency.
Participate in code reviews, technical discussions and knowledge sharing across the engineering team.
Oferujemy:
15,000 - 26,000 PLN gross per month on an employment contract
Private medical healthcare at LUXMED (including dentalcare) for you and your family
Medicover sports card (Fit&More package)
Life insurance financed by the employer
30-minute lunch break included in the 8-hour working day
Work in a highly professional and stimulating atmosphere
Training & Buddy programme that will allow you to quickly adapt to your new role
Wellbeing programme for employees
Co-financing of monthly tickets for the public transport in Krakow
Comfortable working environment in the office and the possibility of home office
Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
Employee referral programme
🔍 Dekoder Ogłoszenia
✓ Ogłoszenie wygląda transparentnie — brak typowych czerwonych flag.