Data Engineer – GCP, Snowflake, dbt

Job not on LinkedIn

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 35 days.
• No salary listed.

Apply Now

Find Similar Remote Jobs

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, develop, and optimize data pipelines and data models using modern cloud technologies • Build and maintain dbt models and complex data transformations using Python and SQL • Support data warehouse modernization, BI migrations, and integration of multiple data sources • Develop analytical datasets and reporting solutions to support business decisions • Ensure data quality, testing, monitoring, and documentation • Collaborate with engineering teams, analysts, and business stakeholders to deliver scalable data solutions • Work on international data engineering and analytics projects • Refactor data models and support migrations between BI platforms such as Looker and Omni • Develop and optimize data models for CRM migrations and integrations such as HubSpot • Build analytical solutions for customer acquisition, retention, churn, revenue, and business performance • Improve data reliability, implement semantic layers, and enable accessible analytics and AI-ready datasets

🎯 Requirements

• 3+ years of commercial experience in Data Engineering or Analytics Engineering • Strong hands-on experience with GCP (BigQuery) and Snowflake • Advanced proficiency in Python and SQL, including complex data transformations, data processing, and query optimization • Strong practical experience with dbt, including developing, testing, and optimizing data models • Solid understanding of data warehousing, data modelling, ETL/ELT processes, and data architecture best practices • Hands-on experience with BI and reporting tools such as Looker, LookML, Omni, Power BI, or Tableau • Experience with workflow orchestration tools such as Apache Airflow or equivalent solutions • Experience with Git, CI/CD pipelines, code reviews, and automated testing • Good understanding of data quality, monitoring, and data governance practices • Strong analytical and problem-solving skills, with the ability to work independently and collaborate with business stakeholders • Excellent English communication skills (C1 minimum) • Knowledge of CRM systems such as HubSpot or Salesforce is a plus • Experience with semantic layers, BI migrations, or data warehouse refactoring is a plus • Background in fintech, SaaS, or commercial analytics is a plus • Familiarity with A/B testing, product analytics, or AI-ready data solutions is a plus • Eligibility to work in the EU

🏖️ Benefits

• Work in a supportive team of AI & Big Data enthusiasts • International projects with global enterprises and startups • Flexible work arrangements, including remote work or modern offices and coworking spaces • Career paths and professional growth opportunities • Knowledge-sharing initiatives • Language classes • Sponsored training and conferences • Industry-leading training materials and certifications through partnerships with Databricks and Anthropic • Team-building events • Integration budget • Work anniversary, birthday, and milestone celebrations • Medical and sports packages • Eye care • 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, and participate in meetups • Dedicated onboarding buddy • Friendly, supportive, and autonomous culture

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume