Data & Reporting Engineer, Intermediate

Perfomalis

. Design and develop scalable and reliable data pipelines to ingest, integrate, process, and distribute data across multiple platforms and systems in collaboration with the Engineering team .

Posted 11/7/2026full-timeRemote • BulgariaMid-LevelSenior💰 €27,000 - €33,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data pipelines, optimizing data flows, and ensuring data quality and governance. Proficient in data architecture, database design, and compliance with data management standards.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython ProgrammingBig Data Technologies (Hadoop, Spark)Cloud Data Services (AWS, Azure, Google Cloud Platform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData ArchitectureDatabase DesignData Warehousing PrinciplesData Quality AssuranceData Governance PracticesData Management StandardsData ProcessingMetadata ManagementData Security Protocols

Soft Skills

Analytical SkillsProblem-Solving SkillsOrganizational SkillsStrong Communication Skills

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Information SystemsMaster's Degree in Data Science

Industry Keywords

Data ManagementData QualityData IntegrationData AccessibilityData Handling Compliance

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopPythonSparkSQL

About the role

Key responsibilities & impact

Design and develop scalable and reliable data pipelines to ingest, integrate, process, and distribute data across multiple platforms and systems in collaboration with the Engineering team
Optimize data flows and collection for cross-functional teams, ensuring data quality and accessibility
Work closely with data scientists and analysts to provide data tools and infrastructure for analytics and model development
Establish and enforce guidelines for data management, including data processing, quality control, metadata management, and data security protocols
Develop policies and procedures for data handling and sharing in compliance with legal and regulatory requirements
Coordinate with different departments to assess data needs, usage, and implementation of best data management practices
Build scalable data pipelines, optimize reporting infrastructure, and drive data quality, governance, and management across the business

Requirements

What you’ll need

3 years of experience in data engineering
Understanding of data architecture, database design, and data warehousing principles
Experience with SQL, Python, and other programming languages relevant to data engineering
Experience with big data technologies such as Hadoop and Spark
Experience with cloud data services, ideally AWS, or Azure or Google Cloud Platform
Knowledge of data management standards, data governance practices, and data quality assurance
Excellent analytical, problem-solving, and organizational skills
Fluency in English
Strong communication skills, with the ability to convey complex data-related concepts to non-technical stakeholders
Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field
Ability to submit a resume in English

Benefits

Comp & perks

Performance-based bonus scheme
Referral bonus
Additional health insurance
Free Multisport card
Regular team buildings, sports matches, and other team events
Flexible working hours within a 40-hour working week
Company-paid trainings and learning courses
Full-time permanent contract
Positive and stimulating working environment