Analytics Engineer

🔥 53 minutes ago

🌐 United Kingdom, Germany, +3 more countries – Remote

🇬🇧 United Kingdom – Remote 🇩🇪 Germany – Remote 🇵🇹 Portugal – Remote 🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 12%

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.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.

Apply Now

Find Similar Remote Jobs

Appinio

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🤝 B2B

💰 Seed Round on 2018-09

Consulting • B2B

Appinio is a market research company that specializes in providing real-time analytics and consumer insights to help businesses make informed decisions. As the world’s largest opinion network, Appinio collects millions of responses daily to assist over 2000 companies worldwide in understanding consumer perceptions, testing prototypes, tracking campaigns, and conducting various forms of market analysis. Their offerings include A/B testing, brand image analysis, and pricing analysis, enabling clients to gain insights in minutes rather than weeks.

📋 Description

• Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt • Develop and maintain data transformation workflows that turn raw data into structured, analytics-ready datasets • Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems • Implement automated tests, validations, monitoring, and proactive issue resolution for data quality and reliability • Document data models, pipelines, business definitions, and transformation logic • Define, implement, and standardize key business metrics such as revenue, bookings, and churn • Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable, scalable data solutions • Optimize SQL queries, dbt models, and data pipelines for performance and scalability • Explore AI-powered tools to improve workflows and prepare the data foundation for AI-driven analytics • Report directly to the Team Lead, Business Intelligence

🎯 Requirements

• Strong SQL skills and hands-on experience designing, building, and maintaining scalable data models in a modern data warehouse • Practical experience using dbt to develop, test, document, and maintain data transformation workflows • Proficiency in Python • Experience building, maintaining, and troubleshooting data pipelines, including integrations with APIs, databases, and third-party systems • Experience with modern data warehouse architectures and cloud-based solutions such as Amazon Redshift, Snowflake, or BigQuery • Strong understanding of data quality principles, automated testing, validation, and monitoring • Ability to translate business requirements into reliable data models and clearly defined metrics • Analytical, detail-oriented, and comfortable taking ownership of technical challenges • Ability to communicate technical concepts clearly and collaborate with technical and non-technical stakeholders • Curiosity about AI-powered development tools and automation opportunities • Application must be submitted in English

🏖️ Benefits

• Flexibility policy; average is 30 days taken with no hard cap on vacation days • Temporary work from abroad: EU-based employees can work outside their country of residence for up to 180 days per year • All required hardware, including a personal MacBook • Deutschland ticket or NAVIT mobility budget for employees located in Hamburg or Berlin • Subsidised Urban Sports Club or ClassPass membership based on location • Access to co-working spaces in Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York

📊 Check your resume score for this job

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

Upload Resume