Data Engineer
At Sales Consulting · Bucharest; București, Romania
- Data and ML
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Where you’ll work
Hybrid, based in Bucharest
“Bucharest”
From the location.
“București, Romania”
From the job board field.
The job board lists it as hybrid.
Hybrid means some days in the office. The listing says how many, and where.
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- Posted
- 26 October 2026
- First seen by us
- 27 October 2026
- Last checked
- 14 hours ago
Job description
From Sales Consulting’s job post, as they wrote it.
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;
Read the full description
• 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.
Data EngineerSales Consulting
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