Senior Data Engineer

Job not on LinkedIn

🕒 July 23

🇧🇬 Bulgaria – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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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RecruityTalent

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support — including job postings, candidate sourcing, screening, interviews and offer management — with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.

📋 Description

• Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets • Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs • Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation

🎯 Requirements

• Strong proficiency in Python and SQL • Experienced in Spark or similar distributed processing technologies • Deep experience with AWS data services (Glue, S3, Step Functions, Athena, EMR, DynamoDB, SQS) • Experience working with data streaming technologies (Kafka, Spark Streaming, etc.) • Experienced in data modeling (preferably in finance or insurance) • Familiarity with MongoDB and document-oriented data sources • Experience with data lake patterns: medallion architecture (bronze/silver/gold), schema management, incremental processing • Comfort with IaC (CloudFormation or Terraform) • Ability to debug data quality issues across distributed systems • Experience implementing data quality frameworks (e.g., Great Expectations) to ensure pipeline reliability and data integrity • Nice to Have: Experience in subrogation, claims processing, insurance or financial technology

🏖️ Benefits

• GDPR-compliant data confidentiality • Recruitment License No. № 3836 and № 3837