SOFTWARE DATA INTELLIGENCE ENGINEER

BEKKARAT GROUP; United States; Remote; USD 110,000 - 180,000; Full time

Job summary

BEKKARAT GROUP is seeking a Software Data Intelligence Engineer to design data-driven software solutions and intelligent data processing systems. You will work across software analytics, data engineering, and enterprise data intelligence, shaping real-time and predictive analytics platforms.

The role emphasizes collaboration with data scientists, cloud architects, and cybersecurity teams in a fully remote global setup, contributing to advanced digital intelligence strategies and scalable

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics, or related discipline.
• 4+ years of experience in data engineering, software analytics, business intelligence, machine learning data systems, or information architecture.
• Experience developing data-driven software solutions.
• Strong understanding of databases, data processing, software engineering, and analytics systems.
• Excellent analytical and programming skills.

Responsibilities

• Design software data architectures.
• Develop: Data processing frameworks, Information models, Analytics structures, Data intelligence solutions.
• Analyze: Data requirements, System dependencies, Information flows.
• Develop automated data pipelines.
• Create: Data ingestion systems, Transformation workflows, Processing architectures.
• Optimize: Data quality, Processing efficiency, Information availability.
• Design: Data platforms, Analytics ecosystems, Information repositories, Integration frameworks.
• Analyze: Business data requirements, Technology capabilities.
• Develop systems for real-time information processing.
• Support: Streaming data platforms, Live analytics systems, Event-driven architectures.
• Analyze: Operational data, Real-time intelligence requirements.
• Prepare data environments supporting AI.
• Develop: Machine learning pipelines, Feature engineering processes, Data preparation frameworks.
• Support: AI model development, Predictive analytics systems.
• Create analytics solutions for software platforms.
• Analyze: Application performance, User behavior, System operations.
• Develop: Intelligent dashboards, Software intelligence models, Performance analytics.
• Connect multiple technology systems.
• Integrate: Enterprise applications, Cloud platforms, AI systems, Business databases.
• Develop: Data exchange architectures, Information connectivity solutions.
• Ensure reliability of digital information.
• Analyze: Data accuracy, Completeness, Consistency.
• Develop: Data validation systems, Quality improvement frameworks.
• Create intelligent reporting solutions.
• Develop: Analytics platforms, Decision-support systems, Visualization frameworks.
• Support: Strategic technology decisions, Operational optimization.
• Research emerging data technologies.
• Explore: AI data platforms, Autonomous analytics systems, Data intelligence ecosystems.
• Develop professional competencies: Analytical thinking, Data-driven mindset, Software engineering ability, Information modeling, Problem-solving, Technical curiosity.

Skills

Analytical thinking

Data-driven mindset

Problem solving

Systems thinking

Information modeling

Education

Bachelor's or Master's degree in CS/IS/Math/Stats

Tools

Python

SQL

Apache Spark

Power BI

Tableau

Job description

Position Overview

BEKKARAT GROUP is seeking a Software Data Intelligence Engineer to join its global Software Analytics, Data Engineering & Intelligent Information Systems Division.

This position is responsible for designing data-driven software solutions, developing intelligent data processing systems, creating analytics architectures, and transforming complex information into actionable technology intelligence.

The successful candidate will work on advanced data engineering initiatives involving software analytics platforms, enterprise data ecosystems, intelligent reporting systems, machine learning data pipelines, real-time information processing, predictive analytics infrastructure, data visualization environments, and digital intelligence solutions.

The role combines data engineering, software development, analytics architecture, artificial intelligence integration, information systems design, and enterprise data intelligence.

The Software Data Intelligence Engineer will contribute to the development of advanced digital intelligence platforms supporting BEKKARAT GROUP activities across software ecosystems, artificial intelligence solutions, industrial automation, financial technologies, logistics intelligence, cybersecurity platforms, manufacturing systems, digital marketplaces, and global enterprise operations.

The successful candidate will collaborate with software engineers, data scientists, AI specialists, business analysts, cloud architects, database engineers, cybersecurity teams, and technology leadership.

This is a fully remote global data intelligence engineering position supporting intelligent analytics platforms, data-driven software development, predictive systems, and future digital ecosystems.

Role Mission

The mission of the Software Data Intelligence Engineer is to transform complex digital information into intelligent systems that support better technology decisions, automation, and business optimization.

The role focuses on designing data architectures, developing analytical software solutions, improving information processing capabilities, and creating intelligent data environments.

The successful candidate will build data-driven software systems, optimize information flows, support artificial intelligence initiatives, and contribute to BEKKARAT GROUP advanced digital intelligence strategy.

The position supports strategic initiatives involving data platforms, AI systems, predictive analytics, business intelligence, real-time analytics, and intelligent enterprise software.

Key Responsibilities

Data Intelligence Architecture Design

• Design software data architectures.
• Develop:
• Data processing frameworks.
• Information models.
• Analytics structures.
• Data intelligence solutions.
• Analyze:
• Data requirements.
• System dependencies.
• Information flows.

Software Data Pipeline Engineering

• Develop automated data pipelines.
• Create:
• Data ingestion systems.
• Transformation workflows.
• Processing architectures.
• Optimize:
• Data quality.
• Processing efficiency.
• Information availability.

Enterprise Data Platform Development

• Support development of enterprise data environments.
• Design:
• Data platforms.
• Analytics ecosystems.
• Information repositories.
• Integration frameworks.
• Analyze:
• Business data requirements.
• Technology capabilities.

Real-Time Data Processing

• Develop systems for real-time information processing.
• Support:
• Streaming data platforms.
• Live analytics systems.
• Event-driven architectures.
• Analyze:
• Operational data.
• Real-time intelligence requirements.

Machine Learning Data Engineering

• Prepare data environments supporting artificial intelligence.
• Develop:
• Machine learning pipelines.
• Feature engineering processes.
• Data preparation frameworks.
• Support:
• AI model development.
• Predictive analytics systems.

Software Analytics Development

• Create analytics solutions for software platforms.
• Analyze:
• Application performance.
• User behavior.
• System operations.
• Develop:
• Intelligent dashboards.
• Software intelligence models.
• Performance analytics.

Data Integration Engineering

• Connect multiple technology systems.
• Integrate:
• Enterprise applications.
• Cloud platforms.
• AI systems.
• Business databases.
• Develop:
• Data exchange architectures.
• Information connectivity solutions.

Data Quality Management

• Ensure reliability of digital information.
• Analyze:
• Data accuracy.
• Completeness.
• Consistency.
• Develop:
• Data validation systems.
• Quality improvement frameworks.

Business Intelligence Software Development

• Create intelligent reporting solutions.
• Develop:
• Analytics platforms.
• Decision-support systems.
• Visualization frameworks.
• Support:
• Strategic technology decisions.
• Operational optimization.

Future Data Intelligence Research

• Research emerging data technologies.
• Explore:
• AI data platforms.
• Autonomous analytics systems.
• Data intelligence ecosystems.
• Advanced information architectures.
• Identify:
• Future technology opportunities.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, Mathematics, Statistics, or related discipline.

4+ years of experience in data engineering, software analytics, business intelligence, machine learning data systems, or information architecture.

Experience developing data-driven software solutions.

Strong understanding of databases, data processing, software engineering, and analytics systems.

Excellent analytical and programming skills.

Professional Expertise

Advanced knowledge of:

Data Engineering

Software Analytics

Data Architecture

Business Intelligence

Machine Learning Data Systems

Information Processing

Database Technologies

Analytics Platforms

Data Integration

Real-Time Systems

Artificial Intelligence Support Systems

Digital Intelligence

Preferred Technical Experience

Experience with:

Python

SQL

Apache Spark

Data Warehouses

Cloud Data Platforms

ETL / ELT Tools

Machine Learning Frameworks

Power BI

Tableau

Data Visualization Tools

API Integration

Database Systems

Data Pipeline Technologies

Innovation & Research Areas

The Software Data Intelligence Engineer may contribute to initiatives involving:

Autonomous data intelligence platforms.

AI-powered analytics ecosystems.

Real-time enterprise intelligence.

Predictive software analytics.

Intelligent information networks.

Self-optimizing data systems.

Future digital knowledge platforms.

Advanced enterprise data architectures.

Professional Competencies

Analytical thinking.

Data-driven mindset.

Software engineering ability.

Information modeling skills.

Problem-solving capability.

Technical curiosity.

Research orientation.

Systems thinking.

Ability to transform complex data into intelligent digital solutions.

Ability to build information systems supporting future technology ecosystems.

What We Offer

BEKKARAT GROUP provides the opportunity to participate in developing advanced data intelligence ecosystems connecting software engineering, artificial intelligence, analytics, cloud technologies, automation, and global digital platforms.

The successful candidate will contribute to next-generation data systems supporting intelligent decision-making, predictive analytics, digital transformation, and future technology development.

This role offers global data engineering experience, complex analytical challenges, collaboration with international specialists, and the opportunity to influence the future of intelligent software systems.

Employment Details

Employment Type: Full Time

Work Mode: Remote Only

Location: Worldwide

Department: BEKKARAT SOFTWARE — Data Intelligence Engineering Division

Career Level: Software Data Intelligence Engineer

Application

BEKKARAT GROUP is seeking data-focused technology professionals passionate about software engineering, analytics, artificial intelligence, data platforms, and building advanced global digital intelligence ecosystems.

HR Department

BEKKARAT GROUP