Data & Analytics Opportunities

Are you a seasoned Data Engineer, Data Scientist, or Data Analyst with strong expertise in modern data ecosystems, cloud platforms, and analytics?Are you based in Romania and looking for freelance opportunities that drive real impact through data? If so, a partnership with emagine could be exactly what you're looking for.emagine is a high-end consultancy firm headquartered in Copenhagen, providing top-tier consulting services through a trusted global network of over 5,000 experts. We support leading companies across Europe with complex, data-intensive projects—spanning finance, telecom, healthcare, retail, and technology.As a freelance Data Specialist, you'll have the opportunity to contribute to advanced data pipelines, analytics platforms, and machine learning initiatives, working alongside international teams on business-critical solutions.Why Join emagine’s Consultant Network?✔️ Engage in long-term projects with global companies driving large-scale data transformation.✔️ Work with cutting-edge cloud platforms (GCP, AWS, Azure), AI/ML frameworks, and scalable data architectures.✔️ Apply your strengths across data engineering, analytics, or science—depending on where you create the most value.✔️ Gain exposure to enterprise-level challenges, including compliance, governance, and cloud modernization.Key ResponsibilitiesFor Data Engineers:Design, build, and maintain robust data pipelines, ETL/ELT processes, and lakehouse architectures (e.g. BigQuery, Redshift, Databricks).Develop and optimize scalable data infrastructures using Python, Spark/Scala, Airflow, and DataProc.Deploy and maintain data platforms on GCP and/or AWS using services like BigQuery, Cloud Storage, Glue, S3, and Redshift.Implement infrastructure as code (Terraform, CloudFormation) to ensure consistency, traceability, and compliance.Contribute to secure and governed data environments—embedding auditability, data quality controls, and access policies.For Data Scientists:Build, validate, and deploy predictive and machine learning models in production environments.Extract insights from structured and unstructured data using Python-based ML frameworks.Collaborate with analysts and engineers to operationalize AI/ML pipelines within governed, cloud-native ecosystems.Support model monitoring, versioning, and explainability as part of enterprise data standards.For Data Analysts:Translate business questions into actionable insights through data storytelling and visual analytics.Build and maintain dashboards and analytical models using SQL, Python, and visualization tools (Looker, Tableau, Power BI).Work with stakeholders to define KPIs and ensure alignment between data outputs and strategic goals.Ensure data integrity and quality within reporting environments.Key RequirementsMinimum 3 years of experience in Data Engineering, Data Science, or Data Analytics roles.Proven proficiency in Python and strong experience with modern cloud data platforms—especially GCP or AWS.Hands-on experience with ETL orchestration tools (Airflow, Glue), version control (GitLab), and data processing frameworks (Spark, DataProc).Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation) and CI/CD integrations for data pipelines.Experience working with Data Lakes, Warehouses, or Lakehouse architectures.Strong understanding of data governance, compliance frameworks, and secure data design.Excellent communication and collaboration skills within cross-functional teams.Fluent in English (spoken and written).Nice to HaveExperience with SOC 1/SOC 2 or ISO 27001 compliant data environments.Knowledge of real-time data streaming, metadata management, or lineage tracking.AWS or GCP certification in Data Analytics or Solutions Architecture.Sector experience in banking, telecom, AdTech, or retail analytics.Interested in Learning More?Sign up today to join emagine’s network and explore exciting freelance data opportunities—where your expertise truly makes an impact.