Data Engineer

🕒 June 12

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

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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Jimdo

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📣 Marketing

⚖️ Legal

💰 Venture Round on 2015-06

Consulting • Marketing • Legal

Jimdo is a technology company that empowers self-employed small business owners by providing a suite of tools designed to help them start, grow, and manage their businesses. Founded in 2007, Jimdo offers a website builder, online store, logo creator, legal text generator, CRM, and SEO services, aimed particularly at microbusinesses. With a mission to support the backbone of the global economy, Jimdo has created over 32 million websites and continues to develop products that simplify business management for entrepreneurs.

📋 Description

• Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL, Python, and Snowflake. • Develop and optimize data ingestion workflows, API integrations, and CDC pipelines using established engineering frameworks and best practices. • Implement data quality checks, testing, monitoring, and observability mechanisms to ensure reliable and trustworthy data products. • Design and maintain analytics-ready data models, including reporting marts and dimensional models that support business insights. • Leverage AI-powered development tools such as GitHub Copilot and Claude to improve productivity, code quality, and documentation. • Collaborate with analysts, BI teams, and stakeholders to define metrics, clarify business logic, and deliver impactful data solutions. • Contribute to data governance, compliance, and platform reliability by following data contracts, security standards, and engineering best practices.

🎯 Requirements

• 4+ years of experience in Data Engineering, Analytics Engineering, or a related field. • Strong SQL skills, including complex joins, aggregations, CTEs, and window functions. • Hands-on experience with dbt for data transformation, testing, and documentation. • Practical experience with cloud data warehouses, preferably Snowflake. • Experience building data workflows and automation using Python. • Familiarity with orchestration tools such as Airflow and Git-based development workflows. • Strong problem-solving skills, attention to detail, and a collaborative mindset. • Experience with AWS services. • Exposure to data governance, data contracts, and compliance frameworks. • Experience using AI coding assistants and integrating AI into engineering workflows. • Familiarity with modern observability and monitoring practices for data platforms.

🏖️ Benefits

• Annual compensation reviews to ensure you're rewarded fairly. • A remote office set-up bonus to enhance your workspace. • An employee assistance program, offering resources and counseling. • Plus, a perk that keeps giving: up to three free Jimdo websites for your personal or professional projects that you get to keep forever.