Data Engineer at SOFTSWISS

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

19 Apr, 26

Salary

0.0

Posted On

19 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, ClickHouse, Airflow, Data Pipelines, Data Quality, Data Transformation, ETL, Problem-Solving, Communication, Data Modeling, Database Design, Data Warehousing, Analytics, Data Integration

Industry

Software Development

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 reliabilit 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.

Responsibilities

The Data Engineer will design, develop, and operate data pipelines and storage solutions to ensure data quality and reliability. They will also monitor pipeline performance and collaborate with teams to enhance data efficiency.