Data Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Design, construct, support, and maintain scalable and secure data pipelines and integrations throughout the organization's data ecosystem.

• Develop and sustain data models, ETL/ELT pipelines, and analytical solutions utilizing Azure Synapse Analytics, Snowflake, Power BI, and other related tools.

• Take ownership of the quality, performance, and ongoing support of delivered data solutions, including legacy data integrations.

• Advocate for the responsible use of AI-assisted tools like GitHub Copilot and Claude to enhance delivery speed, quality, and efficiency.

• Collaborate with Development, Cloud, and Security engineering teams to provide secure and dependable data solutions.

• Diagnose and resolve intricate data quality, performance, and integration challenges across modern and legacy systems.

• Maintain existing legacy integrations and strategize their modernization where suitable.

• Construct and uphold Power BI dashboards, reports, and self-service analytics for business stakeholders.

• Convert business data and reporting requirements into technical solutions.

• Implement security, governance, privacy, and compliance requirements into data solutions.

• Contribute to data architecture, standards, and best practices.

• Estimate time and effort for data engineering tasks and projects.

• Collaborate with Cloud and Development teams to scale data platforms within cloud infrastructure.

• Undertake additional reasonable tasks aligned with abilities as needed.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.

• Over 5 years of experience in data engineering, data warehousing, or business intelligence roles.

• Strong hands-on experience with Snowflake or a comparable cloud data warehouse platform.

• Proficient hands-on experience with Power BI, encompassing data modeling, DAX, and report/dashboard development.

• Experience in constructing and maintaining ETL/ELT pipelines and data integrations, including legacy systems.

• Practical experience utilizing AI-assisted tools such as GitHub Copilot and Claude.

• Strong SQL skills and experience in data modeling, dimensional modeling, and star schemas.

• Familiarity with cloud platforms such as Azure, AWS, or GCP and cloud-native data services.

• Understanding of data governance, data quality, and data security principles.

• Experience collaborating closely with Development, Cloud, and Security engineering teams in a cross-functional setting.

• Experience with Azure Synapse Analytics is a plus.

• Knowledge of GxP, GCP, and/or TMF is preferred but not mandatory.

• Strong problem-solving abilities and complex data issue diagnosis skills.

• Excellent communication skills and the capability to convey technical data concepts to non-technical stakeholders.

• Fluent in both oral and written communication.

• Strong working knowledge of data tools and platforms, including Snowflake and Power BI.

• Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related field, or equivalent experience required.

• At least 2 years of experience in data engineering involving ingestion, transformation, modeling, and pipeline operations across multiple data sources or a related field.

• Certifications in cloud fundamentals or data engineering are preferred.

🏝️ Benefits

• Full-time employment.

• Benefit offerings that align with local market practices; eligibility and effective dates may vary by country and collective bargaining coverage.

• Reasonable accommodations during the employment process.