Data Engineer – Senior

2 Months ago • 2 Years +

Data Analysis

Job Description

SOFTSWISS is seeking an experienced Data Engineer to join their Reporting and Analytics Team. The role involves designing, constructing, installing, testing, and maintaining datasets, as well as assisting in the design and maintenance of scalable data pipelines for data collection, integration, and transformation using Python and Airflow. Responsibilities include monitoring pipeline performance, troubleshooting issues, collaborating with teams to address data-related matters, and supporting the management and optimization of ClickHouse databases. The engineer will also contribute to data model development and database design to support data applications and analytics platforms, staying updated with industry trends in data engineering.

Good To Have:

Experience with ClickHouse
Airflow familiarity
Knowledge of data modeling techniques
Data warehousing concepts
Tableau experience
Managing data sources in Tableau

Must Have:

2+ years of commercial experience
Good knowledge of database technologies
Good SQL knowledge
Proficiency in Python
Basic understanding of data pipeline orchestration tools
Outstanding problem-solving skills
Eagerness to learn
Good communication skills
English and Russian knowledge (B2+)

Perks:

Full-time remote work
Flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive Mental Health Programme
Free online English lessons
Generous referral program
Training
Internal workshops
Participation in international professional conferences
Corporate events

Add these skills to join the top 1% applicants for this job

communication

tableau

python

sql

construct

Overview:

SOFTSWISS is hiring Data Engineer to join our Reporting and Analytics Team. We need a true, experienced and accomplished professional who shares our culture and values.

Key responsibilities:

Design, construct, install, test and maintain datasets for the 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
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
Basic understanding of data pipeline orchestration tools, with Airflow familiarity highly desirable
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
Familiarity with Airflow

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.