Senior Software Engineer contributing to Workday's AI/MLOps cloud ops platform. Involves data ingestion, computation, and generation of curated data sets with modern technologies.
About the role
- Senior Data Engineer joining Reconomy to design, build and optimize data pipelines for an international circular economy specialist.
Responsibilities
- **We are looking for a **Senior Data Engineer** to join our growing data team and play a key role in shaping and modernising our data landscape.****
- **This is a **hands-on, delivery-focused role**, where you will design, build and optimise data pipelines, enabling better decision-making, improved customer experience, and scalable data solutions across the business.****
- **You’ll work closely with Product, Business Analysts and Engineering teams to turn data into real business value.****
Requirements
- **What we’re looking for**
- Strong experience in building and maintaining **data pipelines and data models**
- Solid SQL skills and understanding of **data architecture principles**
- Experience working with **Azure data technologies** (ADF, Synapse, Data Lake, etc.)
- Knowledge of **data transformation, ingestion, and orchestration**
- Familiarity with **CI/CD, version control and testing practices**
- Experience working in **Agile environments**
- Ability to translate business needs into technical solutions
- Strong communication and collaboration skills.
- **Nice to have**
- Experience with tools like **Databricks or NoSQL databases**
- Exposure to **data governance, metadata, or cataloguing tools**
- Experience working with **unstructured data or OCR workflows**
- Understanding of **data visualisation tools or ML frameworks**
Benefits
- This role offers you the chance to work in a friendly, diverse and international environment, along with colleagues who will share your passion for innovation, agile-working and growth. You will also be able to develop your skills within the exciting and challenging market of Reverse Logistics!
- Hybrid working environment
- Training and development to keep you in touch with the latest technologies and the opportunities to apply your learning.
- We offer a competitive salary alongside other benefits*
- Our office is easily accessible located near the city center of Bucharest, and designed to make you feel at home
- 21 working days of annual leave, plus 2 additional days allowed for participation in volunteering programs, and 1 extra day off for your birthday
- Meal vouchers: 40 RON per working day (taxed according to current legislation)
- Private medical subscription at Regina Maria.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer role at Citi designing and maintaining scalable data solutions. Seeking a skilled professional with extensive data engineering experience and expertise in various technologies.
Data Engineer responsible for designing and maintaining enterprise data warehouse for various projects. Collaborating with stakeholders to ensure efficient data flow and integration.
Data Engineer developing and evolving BI platform for Thomson Reuters in India. Building architectural solutions and collaborating in all development lifecycle aspects.
Data Engineer responsible for building and maintaining AWS Lakehouse infrastructure for trade contractors at Remarcable. Focused on clean data architecture and AI/ML data infrastructure.
Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
Medior Data Engineer handling Azure migrations for a major urban mobility client. Focused on data pipeline development and ensuring platform reliability with cutting - edge technologies.
Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
Data Migration Lead in a hybrid role managing data migration for a major transformation programme in the media sector. Collaborating with various teams to ensure data integrity and successful migration.
Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.