Data Engineer, Snowflake

Job not on LinkedIn

🔥 1 minute ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Addepto

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Addepto is a company specializing in Artificial Intelligence and Machine Learning solutions tailored for various industries. They offer AI consulting, MLOps consulting, and data engineering services, providing comprehensive AI-driven strategies and applications. Addepto focuses on implementing sophisticated AI technologies such as Generative AI, computer vision, and large language models to solve complex business problems. They cater to industries like finance, aviation, retail, and logistics, among others, enhancing operations and decision-making processes.

📋 Description

• Design and develop scalable data ingestion pipelines for file-based and API data sources using Python • Build and maintain backend components for data processing, validation, and integration • Design and develop REST APIs using Python and Django • Implement robust data quality, validation, and error-handling mechanisms • Design and maintain data models and work with modern cloud data platforms and warehouses • Develop and maintain automated data-quality tests • Work with cloud services and workflow orchestration tools such as Airflow • Contribute to CI/CD pipelines and application environment configuration • Ensure solutions are reliable, maintainable, scalable, and production-ready • Write and maintain technical documentation and operational runbooks • Collaborate with engineers and stakeholders to translate business and technical requirements into effective solutions • Use AI-assisted development tools and workflows as part of day-to-day software delivery

🎯 Requirements

• At least 4 years of commercial experience in Backend Engineering, Data Engineering, or building production data-intensive systems • Strong programming skills in Python, including clean code and solid software engineering practices • Hands-on commercial experience with Django and building REST APIs • Experience designing and developing data ingestion / ETL or ELT pipelines from file-based and API sources • Experience with modern cloud data platforms or warehouses, such as Snowflake or Databricks • Working knowledge of at least one major cloud platform: AWS, Azure, or GCP • Experience with workflow orchestration tools such as Airflow or equivalent • Strong understanding of data validation, data quality, and error-handling design • Experience working with CI/CD and production environments • Ability to work independently and take ownership of technical deliverables • Experience using AI coding assistants or AI-supported development workflows • Excellent communication skills and ability to clearly document technical decisions • Fluent English, at least C1 level • Eligibility to work in the EU

🏖️ Benefits

• Work in a supportive team of passionate enthusiasts of AI & Big Data • Engage with top-tier global enterprises and cutting-edge startups on international projects • Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces • Career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences • Access to industry-leading training materials and certification programs through partnerships with Databricks and Anthropic • Team-building events and integration budget • Work anniversary, birthday, and milestone celebrations • Medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching • Full work equipment, including a laptop and other necessary devices • Opportunities to speak at conferences, write for the company blog, or participate in meetups • Dedicated onboarding buddy • Friendly, supportive, and autonomous culture