Data Engineer (Remote - Serbia, Georgia, Montenegro) at Jobgether

, , Montenegro -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

0.0

Posted On

24 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, SQL, NoSQL, Python, Bash, AWS, Data Integration, Data Quality, Data Governance, Data Warehousing, Data Lakes, Data Modeling, Schema Design, Performance Tuning

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in Montenegro, Serbia, and Georgia. This role offers the opportunity to join a dynamic team focused on building scalable, high-performance data systems that empower global business growth. You will design, implement, and maintain data pipelines and infrastructure while collaborating closely with Developers, Data Analysts, and DevOps teams. Your work will support data-driven decision-making across the organization, ensuring reliability, efficiency, and security of data. This is a remote-friendly, high-impact environment where innovation, continuous learning, and cross-functional collaboration are valued. You will have the chance to work with modern cloud platforms, orchestration tools, and both SQL and NoSQL databases, contributing directly to the company’s data strategy and growth initiatives. Accountabilities Design, develop, and optimize ETL/ELT pipelines for both batch and real-time data processing. Build and maintain data warehouses/lakes (e.g., Snowflake) and databases (SQL/NoSQL). Implement data integration solutions using tools such as dbt, Fivetran, and Apache Airflow. Ensure data quality, reliability, and performance through monitoring, testing, and troubleshooting. Collaborate with cross-functional teams to gather requirements and deliver scalable data solutions. Optimize data storage, retrieval, and processing for cost efficiency and performance. Adhere to data governance, security, and compliance standards (e.g., GDPR, HIPAA). Continuously improve existing pipelines, processes, and coding standards with minimal guidance. 2+ years of experience as a Data Engineer or Database Administrator. Bachelor’s degree in a technical field. Strong proficiency in SQL and experience with relational databases (MySQL, MariaDB, Snowflake). Experience with NoSQL databases such as Elasticsearch, OpenSearch, or Redis. Programming skills in Python and Bash for data processing. Familiarity with cloud platforms (AWS) and services like S3, Lambda, CloudWatch, and SNS. Knowledge of data orchestration and workflow automation tools (dbt, Airflow). Experience with data modeling, schema design, and performance tuning. Strong problem-solving skills and ability to communicate clearly across teams. Self-driven, accountable, and able to adapt quickly to code styles, conventions, and evolving requirements. Proficiency in English for reading and writing. Competitive cash and equity packages. 100% remote work environment. Paid Time Off and 8 weeks Paid Parental Leave. Monthly team get-togethers, quarterly virtual gatherings, and biannual offsites. Annual Work Smart Fund to support professional growth and workspace needs. Opportunity to collaborate with teammates in 20+ countries worldwide. Dynamic, supportive, and innovative team culture. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, implement, and maintain data pipelines and infrastructure while collaborating closely with Developers, Data Analysts, and DevOps teams. Ensure reliability, efficiency, and security of data to support data-driven decision-making across the organization.