
Data Engineer
21 hours ago
Make data flow
Your Role & Responsibilities
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Design, build, and optimize data pipelines — including interfaces, automation, and transformation workflows
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Collaborate with customers to understand reporting needs and build tailored SQL dashboards and reports
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Work with HelloDATA's open-source data management stack, contributing to scalable, modular data solutions
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Ensure clean, reliable, and well-modeled data flows across cloud and on-prem environments
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Maintain and extend ETL/ELT processes using tools such as Airflow and custom Python scripts
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Translate business requirements into structured data transformations and usable reporting layers
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Participate in deployment and operations of data infrastructure across cloud platforms (Azure, AWS, GCP)
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Ensure data quality, performance, and scalability through continuous monitoring and optimization
Your Profile
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Strong experience in data engineering or data pipeline development, preferably in open-source ecosystems
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Proficiency in SQL and Python for data transformation, validation, and automation
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Hands-on experience with Airflow, Superset, or similar workflow and visualization tools
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Solid understanding of data warehousing principles and cloud-native data architecture
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Comfortable working closely with end users and customers in a consultative, solution-oriented approach
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Strong analytical mindset and attention to data consistency and quality
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Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience)
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Good communication skills in English
Bonus Skills (Nice to Have)
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Familiarity with the HelloDATA open source ecosystem or similar composable data stacks
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Experience with data modeling, data lake architecture, or modern DWH platforms
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Understanding of DevOps practices in the context of data infrastructure (CI/CD for data workflows, IaC)
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Experience in customer-facing or consulting roles
Soft Skills
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Proactive and independent mindset — able to drive topics with minimal supervision
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Strong communication skills, especially when working directly with customers and business stakeholders
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Structured and methodical approach to building reliable and scalable data systems
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Eager to work in collaborative, agile, and technically curious teams
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