Data Engineer
Join a leading telecommunications infrastructure services company that leverages technical expertise and innovative solutions to deliver reliable connectivity and drive digital transformation across.
We usually respond within three days
Key duties and responsibilities
Your mission will be to:
• Design, develop, and maintain robust ETL workflows that extract, transform, and load data from various sources into our data warehouse (Snowflake) and other storage systems;
• Integrate data from multiple heterogeneous sources, ensuring data quality, consistency, and accuracy throughout the process;
• Implement data transformation processes that convert raw data into structured and usable formats for analysis and reporting;
• Optimize ETL processes for performance, scalability, and reliability, ensuring minimal downtime and maximum efficiency;
• Develop and implement data quality checks and validation processes to ensure the integrity and accuracy of data;
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and ensure seamless data integration and accessibility;
• Create and maintain comprehensive documentation of ETL processes, data mappings, and workflows;
• Monitor ETL processes and resolve any issues or errors promptly to ensure smooth data operations.
Required experience & competencies
• Around 5 years of experience in a data engineering role, with a focus on ETL process development and management;
• Experience with Snowflake or another modern cloud data warehouse, and with at least one cloud platform (AWS, Azure or GCP);
• Proficiency in ETL tools and technologies (e.g., Apache NiFi, Talend, Informatica, AWS Glue);
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server);
• Knowledge of programming languages (e.g., Python, Java) for data processing and automation;
• Experience with data warehousing concepts and technologies, data modelling and schema design;
• Knowledge of data governance and security practices;
• Familiarity with Agile development methodologies;
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and workflow orchestration tools (e.g., Airflow) is a plus;
• Excellent problem-solving skills and attention to detail;
• Strong communication and collaboration skills; ability to work independently and manage multiple tasks effectively;
• Strong command of English, both written and verbal (mandatory). French speaking skills are highly appreciated.
Required Education
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Department
- IT
- Role
- Data Engineer
- Location
- Bucharest
- Remote status
- Hybrid
About Sales Consulting
As a leading provider of Human Resources consulting services in Transylvania, we deliver regional coverage and specialized expertise across four core areas: recruitment and selection, personnel leasing, assessment centers and HR consultancy. With a strong and consistent presence on the Romanian market, we continue to consolidate our position through a strategic commitment to continuous improvement and alignment with evolving business needs.
Our success is founded on the professionalism of our services, the multidisciplinary capabilities of our consulting team, and the long-standing partnerships we maintain with clients who rely on our support in navigating complex HR challenges.
We collaborate with organizations across a broad range of industries, including IT&C, automotive, outsourcing, pharmaceutical, banking, FMCG and others, building sustainable, long-term relationships that contribute to their organizational growth.
Guided by the principles of client orientation, teamwork, flexibility, excellence, dedication, and responsibility, we remain focused on delivering measurable value and consistently high-quality services to our partners.