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Senior Data Engineer

everseen

Belgrade

  • Hybrid
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About the role

Everseen: A leader in vision AI solutions for the world’s leading retailers.

The Role

The Senior Data Engineer serves as a technical authority and subject matter expert responsible for designing, building, and optimizing advanced cloud data lakehouse architectures and enterprise data models. This role combines deep hands-on technical expertise with cross-functional alignment, strategic roadmap prioritization. In addition to driving internal architectural excellence and long-term operational mechanisms, the role owns key customer onboarding initiatives end-to-end and involves traveling to client sites at pivotal project milestones to ensure technical and business success.

What you’ll do (Main responsibilities)

Completing Data Modeling Activities: Be a Subject matter expert. 

  • Lead data modeling activities, including conceptual, logical, and physical data modeling, to ensure data structures align with business requirements and analytical use-cases.
  • Collaborate with cross-functional teams to understand data needs and translate them into effective data models that support data insights and analytics. 
  • Manages extremely complex projects with unique requirements. 

    • Design State-of-the-Art Cloud-Based Data Lake-house Solutions: 

  • Conceptualisation, Design and implementation of advanced, cloud-based data lake-house solutions that cater to a wide range of analytical use-cases. 
  • Consolidate and Optimize Cloud Data Infrastructure: 
  • Identify opportunities for performance optimization, cost reduction, and resource utilization improvements within the cloud environment. 
  • Implement process changes according to these opportunities. 

    • Teaching and Sharing Culture:

  • Excels at coaching others and leading on the fundamental concepts, practices, and procedures of data engineering. 
  • Act as a mentor and is a subject matter expert, sharing skills, knowledge, and expertise with earlier in career members of the data engineering team. 
  • Provide feedback to mentees on their progress, manage and monitor their work and development together with the line manager.
  • Foster a culture of collaboration and continuous learning by organizing training sessions, workshops, and knowledge-sharing sessions.

    • Drive Effective Roadmap Prioritization:

  • Collaborate with stakeholders to drive effective roadmap prioritization aligned with company-wide goals and objectives. 

    • Profile and skills:

    Technical Skills: 

  • Deep Understanding and demonstrated expertise in Data Modeling and Data Lake-house Concepts Deep knowledge of fundamental concepts of data modeling, including relational databases, dimensional modeling, and data lake-house architectures. Understanding of how data is structured, organized, and accessed within data lakes and data warehouses
  • Becoming a Subject Matter Expert SQL and Python: 
  • Expertise in SQL for data manipulation, querying, and analysis. Proven programming skills in Python for building data pipelines, performing data transformations, and implementing automation tasks. 
  • Structured and Analytical Thinking: Structured and analytical approach to problem-solving, with the ability to make sense of complex information and data sets. Strong attention to detail and a methodical approach to data analysis and data engineering tasks. 
  • Interest in Learning and Growth Mindset: Demonstrated interest in learning and a strong desire to expand knowledge in the field of data engineering. Eagerness to explore new technologies, methodologies, and best practices to enhance data engineering skills and capabilities. 
  • Collaboration and Knowledge Share: Shares skills, knowledge and expertise across the team 
  • Initiative and Adaptability: Proactive self-starter with the capacity to engage in multiple initiatives concurrently. Adaptable to changing project requirements and able to anticipate and address potential issues promptly. Enable the One Team + Team Builder​ approach. 
  • Curiosity: Keen interest in Everseen's technology solutions, comfortable discussing them at a high level, and staying updated with the latest developments. Constantly suggests and drives ways to improve processes. 
  • Ownership and Accountability: Demonstrates initiative, drive, and self-motivation in taking full ownership of projects, ensuring accountability for project outcomes, and fostering a no-blame culture conducive to continuous improvement."

    • About Everseen

    Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience.
     
    Supporting 11 of the top 20 global retailers, Everseen’s AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily.
     
    Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.
     
    Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.
     
    We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver.
     

    Our Culture

    Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions.
    We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar,  strengthening our talent, pushing innovation forward, and maximizing our impact.
     
     
    Our Values
     
    We OWN THE OUTCOME. No silos, no excuses.
     
    We ARE CUSTOMER-FIRST. They guide our decisions.
     
    We ARE ONE TEAM. Debate, decide, commit.
     
    We MOVE WITH PACE. With simplicity and quality.
     
    We RAISE THE BAR. On talent, innovation and impact.
     

    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.