Senior Data Engineer

Job not on LinkedIn

🕒 September 16

🇪🇺 Europe – Remote

⏰ Full Time

🟠 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.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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opinov8

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

opinov8 is a global digital and engineering solutions company specializing in custom software, cloud, and data services. Headquartered in London with development centers and remote teams across Ukraine, Egypt, Colombia, Portugal and the EU, opinov8 partners with businesses worldwide to accelerate digital transformation through custom engineering, cloud migrations, and data-driven solutions. The company operates as a remote-first B2B services provider serving clients across sectors such as finance, healthcare, logistics, and media.

📋 Description

• Define and implement core data models for users, events, and performance • Design and operate robust, production-grade data pipelines • Establish a single source of truth for key business and product metrics • Structure data for retention, funnel, activation, and other business and product analyses • Build and deploy data services and jobs on AWS, including S3, Lambda, ECS/EKS, Glue, Athena, and Redshift • Make pragmatic decisions about data storage, processing, and access • Evaluate and introduce tools such as BigQuery, Snowflake, and Databricks where valuable • Ensure architecture scales with product, AI, and data growth without overengineering • Optimize pipelines for scalability, cost efficiency, and performance • Write clean, maintainable, well-structured Python code following software engineering best practices • Collaborate with Product, Engineering, AI, and Business teams

🎯 Requirements

• 5–7+ years of professional experience in data-heavy roles (data engineering, ML engineering, or similar) • Strong programming skills in Python, including clean architecture, testing, and modular design • Solid SQL skills and experience designing analytical schemas • Hands-on experience building production data pipelines and services • Strong experience with AWS and cloud-native data architectures • Familiarity with CI/CD, monitoring, logging, and deployments • Comfort working with imperfect, real-world data and evolving requirements • Experience working in fast-paced or early-stage environments • Excellent communication skills in English • Ability to collaborate effectively with cross-functional and international teams • Passion for sports, performance analytics, and leveraging data for real-world impact

🏖️ Benefits

• Work from wherever you are; professionals worldwide • Flexible remote working conditions • Exciting projects across industries • Continuous learning and development opportunities • Hands-on experience • Collaboration with a diverse, cross-cultural team

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