Senior Data Engineer

RecruityTalent

Senior Data Engineer role at RecruityTalent focused on building ETL/ELT pipelines for clients in Bulgaria, EMEA, and LATAM. Responsibilities include optimizing data lakes and reporting tools for business strategy.

Posted 7/23/2026full-timeRemote • 🇧🇬 BulgariaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and optimizing ETL/ELT pipelines using Python and SQL, with extensive experience in AWS data services and data modeling, particularly in finance or insurance. Demonstrates strong capabilities in implementing data quality frameworks and managing data lakes for machine learning applications.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyAWS Data ServicesData ModelingData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT Pipeline DesignData Streaming TechnologiesSparkData Lake PatternsIncremental ProcessingIaC (CloudFormation, Terraform)Debugging Data Quality IssuesData Quality FrameworksData TransformationFeature Store Management

Tools & Technologies

AWS GlueAWS S3AWS Step FunctionsAWS AthenaAWS EMRAWS DynamoDBAWS SQSKafkaSpark StreamingMongoDB

Industry Keywords

SubrogationClaims ProcessingFinancial TechnologyData LakesDocument-Oriented Data Sources

Tech Stack

Tools & technologies

AWSDistributed SystemsDynamoDBETLKafkaMongoDBPythonSparkSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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