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Data Engineer

SOFTSWISS

Remote

PLN 168,000 - 254,000

Full time

Today
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Job summary

A leading tech company in Poland is looking for a Data Engineer to design and maintain scalable data pipelines for analytics. Ideal candidates will have over 2 years of experience and proficiency in Python and SQL, with a strong understanding of data quality and performance. The role offers full-time remote work, private insurance, and additional benefits, promoting a healthy work-life balance while providing opportunities for professional development.

Benefits

Flexible working hours
Private insurance
Additional time off
Sports program compensation
Mental Health Programme
Free English lessons
Referral program
Training and workshops

Qualifications

  • 2+ years of commercial experience as a data engineer.
  • Proficiency in Python for data manipulation and ETL pipelines.
  • Good knowledge of SQL and experience with relational databases.

Responsibilities

  • Design and maintain datasets for analytics teams.
  • Monitor and improve data pipeline performance.
  • Collaborate to resolve data-related issues and enhance efficiency.

Skills

Data pipeline construction
Database management
Python programming
SQL
Data visualization tools

Tools

ClickHouse
Airflow
Tableau
Job description
Overview:

SOFTSWISS is looking for a Data Engineer to build and maintain scalable data pipelines and support analytical data platforms. The role focuses on ensuring reliable data ingestion, transformation, and availability for analytics and reporting use cases.

Purpose of the role:

You will design, develop, and operate data pipelines and data storage solutions, ensuring data quality, performance, and reliability. Your mission is to provide analytics teams with accurate and accessible data while continuously improving data processing workflows and infrastructure.

Key responsibilities:
  • Design, construct, install, test and maintain datasets for analytics team, ensuring data availability and accessibility
  • Assist in the design and maintenance of scalable data pipelines for data collection, integration and transformation using Python and Airflow
  • Monitor data pipeline performance, troubleshoot issues and implement improvements to enhance efficiency and reliability
  • Work collaboratively with different teams to address data-related issues and help enhance the efficiency and effectiveness of data use
  • Support the management and optimisation of our ClickHouse databases, ensuring data accuracy and availability
  • Contribute to the development of data models and database design to support our data applications and analytics platforms
  • Stay up-to-date with industry trends and advancements in data engineering technologies and methodologies
Required Experience:
  • 2+ years of commercial experience as data engineer
  • Good knowledge of and experience with database technologies, specific experience with ClickHouse is a big plus
  • Good knowledge SQL and experience working with relational databases
  • Proficiency in Python, with experience using data manipulation and ETL pipelines
  • Understanding of data pipeline orchestration through Airflow
  • Outstanding problem-solving skills and attention to detail
  • Eagerness to learn and adapt in a fast-paced environment
  • Good communication skills, both written and verbal
  • English and Russian knowledge (B2+)
Nice to have:
  • Knowledge of data modelling techniques and data warehousing concepts
  • Previous experience / familiarity with Tableau, especially building and managing data sources
Our Benefits:
  • Full-time remote work opportunities and flexible working hours
  • Private insurance
  • Additional 1 Day Off per calendar year
  • Sports program compensation
  • Comprehensive Mental Health Programme
  • Free online English lessons with a native speaker
  • Generous referral program
  • Training, internal workshops, and participation in international professional conferences and corporate events.

Learn more about our hiring process here (link) – what to expect, how to prepare, and what makes SOFTSWISS different.

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