Data Engineer
Belgrade
R&D – Research - Research /
Full Time Permanent /
Hybrid
A global leader in Edge Computer Vision AI and hyper-automation solutions.
The Role
If you are a talented Data Engineer with a passion for working on groundbreaking projects in the field of Machine Learning and want to be part of our dynamic team, we encourage you to apply. Join us in shaping the future of the retail industry through innovative data engineering.
We are seeking a talented and highly motivated Data Engineer to join our data team. In this role, you will play a pivotal part in building and optimizing the data pipelines and infrastructure necessary for our cutting-edge computer vision and AI projects. This role requires strong data engineering, programming and problem-solving skills, as well as the ability to work independently within a collaborative environment. As a part of small team of ML Engineers and Data Analysts, you will have the opportunity and freedom to significantly influence the data engineering process and work on massive amounts of data.
As part of your application, we would love to see a CV highlighting your relevant experience and any relevant code samples or projects you’ve worked on. We look forward to reviewing your application and potentially welcoming you to our team at Everseen.
What you'll do
- Develop, maintain and monitor data pipelines to ensure efficient and reliable data flow.
- Design and implement robust data models, storage strategies and data governance practices that guarantee data integrity and quality.
- Model and maintain metadata to improve overall data usability.
- Contribute to the existing data architecture, identifying opportunities for performance improvements and cost optimizations.
- Write performant queries and optimize existing ones to handle large datasets effectively.
- Create and improve tooling to streamline workflows and enhance the capabilities of the current data stack.
- Troubleshoot and resolve complex data-related issues.
- Participate in code reviews, providing constructive feedback to maintain high standards of code quality and consistency.
- Collaborate with Applied AI Scientists to understand and meet their data requirements for research projects.
- Work closely with Data Analysts, ensuring they have the data, tools and resources necessary to perform their daily tasks effectively.
- Collaborate with Operations teams to facilitate smooth data ingestion and address operational challenges.
Collaborating With
Profile and Skills
- Bachelor’s or master’s degree in computer science, software engineering or a related field.
- Proven experience as a Data Engineer, with at least 3 years of relevant work experience.
- Proficiency in Python.
- Experience building and maintaining data pipelines.
- Strong knowledge of SQL and NoSQL databases, data warehousing, and data modeling concepts.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Proficiency in software engineering principles, including version control (Git) and design patterns.
- Exceptional problem-solving and debugging skills related to data workflows.
- Ability to independently understand and work with complex data systems and research code.
- Excellent communication skills and the ability to collaborate effectively with researchers and team members.
- Self-driven, highly motivated, and able to work independently within a team.
Additional Skills
- Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Familiarity with data visualization tools and libraries (e.g., Tableau, Power BI, matplotlib).
- Basic understanding of machine learning concepts and frameworks (e.g., PyTorch, TensorFlow) to facilitate data preparation.
What we offer
- Competitive salary and benefits package (e.g. private healthcare).
- Opportunities for professional growth and development.
- A collaborative and innovative work environment.
- A supportive and innovative team dedicated to pushing the boundaries of computer vision in retail.
- Flexible work arrangements.
About Everseen
Everseen is a leader in vision AI. We are transforming business operations for global retailers, driving measurable business value and improving the customer experience.
We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans.
We are trusted by major food, drug, mass, and specialty retailers around the world, including Kroger, Meijer, and Woolworths, and we partner with leading hardware, AI, and cloud computing leaders including NVIDIA, NCR, Lenovo, Microsoft, Google and Dell.
We have created a robust and proven vision AI factory. We are operationalizing vision AI at an unprecedented scale with the largest global footprint of edge AI powered Computer Vision in Retail.
Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 750 employees globally with European HQ in Cork, Ireland, US HQ in Miami, USA, R&D hubs in Romania, Serbia, Croatia, India and Spain.
Key Numbers
Top 10
Trusted by 10 of the top 20 global grocery retailers
160,000+
Edge AI Endpoints Worldwide
300+ years
Of Videos Processed Daily
+10x ROI
Delivering Market's best ROI
Our Commitment
Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.
Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.