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Data Engineer - Middle
JOB SUMMARY
Roles
Job details
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. Y
our 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 accessibilityAssist in the design and maintenance of scalable data pipelines for data collection, integration and transformation using Python and AirflowMonitor data pipeline performance, troubleshoot issues and implement improvements to enhance efficiency and reliabilitWork collaboratively with different teams to address data-related issues and help enhance the efficiency and effectiveness of data useSupport the management and optimisation of our ClickHouse databases, ensuring data accuracy and availabilityContribute to the development of data models and database design to support our data applications and analytics platformsStay up-to-date with industry trends and advancements in data engineering technologies and methodologiesRequired Experience:2+ years of commercial experience as data engineerGood knowledge of and experience with database technologies, specific experience with ClickHouse is a big plusGood knowledge SQL and experience working with relational databasesProficiency in Python, with experience using data manipulation and ETL pipelinesUnderstanding of data pipeline orchestration through AirflowOutstanding problem-solving skills and attention to detailEagerness to learn and adapt in a fast-paced environmentGood communication skills, both written and verbalEnglish and Russian knowledge (B2+)Nice to have:Knowledge of data modelling techniques and data warehousing conceptsPrevious experience / familiarity with Tableau, especially building and managing data sourcesOur
Benefits
:Full-time remote work opportunities and flexible working hoursPrivate insuranceAdditional 1 Day Off per calendar yearSports program compensationComprehensive Mental Health ProgrammeFree online English lessons with a native speakerGenerous referral programTraining, 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.
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. Y
our 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 accessibilityAssist in the design and maintenance of scalable data pipelines for data collection, integration and transformation using Python and AirflowMonitor data pipeline performance, troubleshoot issues and implement improvements to enhance efficiency and reliabilitWork collaboratively with different teams to address data-related issues and help enhance the efficiency and effectiveness of data useSupport the management and optimisation of our ClickHouse databases, ensuring data accuracy and availabilityContribute to the development of data models and database design to support our data applications and analytics platformsStay up-to-date with industry trends and advancements in data engineering technologies and methodologiesRequired Experience:2+ years of commercial experience as data engineerGood knowledge of and experience with database technologies, specific experience with ClickHouse is a big plusGood knowledge SQL and experience working with relational databasesProficiency in Python, with experience using data manipulation and ETL pipelinesUnderstanding of data pipeline orchestration through AirflowOutstanding problem-solving skills and attention to detailEagerness to learn and adapt in a fast-paced environmentGood communication skills, both written and verbalEnglish and Russian knowledge (B2+)Nice to have:Knowledge of data modelling techniques and data warehousing conceptsPrevious experience / familiarity with Tableau, especially building and managing data sourcesOur
Benefits
:Full-time remote work opportunities and flexible working hoursPrivate insuranceAdditional 1 Day Off per calendar yearSports program compensationComprehensive Mental Health ProgrammeFree online English lessons with a native speakerGenerous referral programTraining, 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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SOFTSWISS United States
