Data Engineer

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Evolved Ideas

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2007

🤝 B2B

☁️ SaaS

🏢 Enterprise

B2B • SaaS • Enterprise

Evolved Ideas is a UK-based software consultancy and product development agency founded in 2007 that partners with startups, SMEs and enterprises to design, build, and support bespoke web and mobile applications. They offer MVP ideation and validation, bespoke software development, application support, and extended development teams (including fractional CTOs), and accelerate delivery with their EasyGo starter platform and banking integrations. With a team of 100+ designers, developers and analysts and development hubs in Eastern Europe and Spain, they focus on delivering technology solutions that drive business growth for B2B clients.

📋 Description

• Own the end-to-end pipeline that creates the unified customer_uuid across Books & Media and Fashion • Maintain and evolve our customer identity master data with a strong focus on accuracy, reliability, and production quality • Improve our probabilistic identity resolution model and make matching decisions measurable, transparent, and explainable • Build scalable and cost-efficient data pipelines across BigQuery, GCS, and Cloud Run Jobs • Introduce diagnostics, monitoring, and structured validation for every relevant model change • Identify and resolve edge cases in customer matching logic before they become production issues • Work closely with business and technical stakeholders to turn complex matching challenges into robust data solutions

🎯 Requirements

• 5+ years of experience in production data engineering • Strong experience with BigQuery and advanced SQL in large-scale analytical environments • Strong Python skills for production-grade data engineering • Solid Airflow experience and a strong understanding of reliable orchestration patterns • Hands-on experience with incremental pipelines and idempotent data processing • Experience with probabilistic record linkage or entity resolution in production • Strong understanding of data quality, matching logic, and precision/recall trade-offs • A careful, structured, and ownership-driven way of working • Strong communication skills and the ability to explain technical decisions clearly

🏖️ Benefits

• Healthcare insurance • Educational budget • Challenging tasks and professional development, knowledge & best practice sharing