Data Engineer

Skelar AS

Job Overview

Location

Kyiv, Lviv, Warsaw

Job Type

Full-time

Full Job Description

📋 Description

• As a Data Engineer at Skelar AS, you will be responsible for building and maintaining large-scale data pipelines to support the company's growth and success.
• You will work closely with cross-functional teams, including product, marketing, and advertising, to understand their data needs and develop solutions that meet their requirements.
• Your primary focus will be on designing and implementing data transformations, data modeling, and data quality assurance to ensure accurate and timely data delivery.
• You will also be responsible for monitoring and maintaining the performance of data pipelines, identifying and resolving issues, and implementing improvements to increase efficiency and scalability.
• In addition, you will work on automating routine processes, writing scripts for data validation, and creating custom integrations with advertising APIs using Python.
• You will also be responsible for building ETL/ELT pipelines from scratch, understanding the entire data flow from source to analytics dashboard, and implementing CI/CD for data pipelines.
• You will work closely with the team to identify and prioritize data-related tasks, develop and implement data-driven solutions, and ensure that data is accurate, complete, and consistent.
• You will also be responsible for staying up-to-date with industry trends and best practices in data engineering, and contributing to the development of the company's data engineering capabilities.
• You will work in a fast-paced and dynamic environment, collaborating with a team of experienced professionals who are passionate about data and technology.
• You will have the opportunity to work on a wide range of projects, from building data pipelines to developing data-driven solutions, and will be encouraged to take ownership of your work and contribute to the company's growth and success.
• You will also have access to a range of benefits, including a competitive salary, comprehensive health insurance, and opportunities for professional development and growth.

🎯 Requirements

• 3+ years of experience in data engineering, with a focus on designing and implementing large-scale data pipelines.
• Strong understanding of data modeling, data transformations, and data quality assurance.
• Experience with data engineering tools and technologies, including BigQuery, dbt, and Python.
• Strong problem-solving skills, with the ability to identify and resolve complex technical issues.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with CI/CD for data pipelines, including automated testing and deployment.

🏖️ Benefits

• Competitive salary and comprehensive health insurance.
• Opportunities for professional development and growth, including access to a range of training and development programs.
• Collaborative and dynamic work environment, with a team of experienced professionals who are passionate about data and technology.
• Access to a range of benefits, including a fitness center, sports facilities, and corporate discounts.

Skills & Technologies

Python

GitHub

Onsite

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Skelar AS

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About Skelar AS

Skelar provides cloud-based ERP and MES software for manufacturing companies, focusing on production planning, inventory control, quality management, and shop-floor data capture. The platform integrates with machines, sensors, accounting, and e-commerce systems to give real-time visibility into orders, materials, capacity, and costs. Targeting small to mid-sized factories in Europe, Skelar offers low-code customization, mobile apps, and open APIs. Founded in 2018 in Oslo, the company serves discrete manufacturers seeking to digitize operations without large consulting projects.

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