Cloud Data & Retail Analytics Engineer
Kifisia, Attica, Greece
Public Group
The organization
Why Join Us? It's More Than a Job in Retail, It's Your Story.
At Public Group, we believe in the power of our people in a sustainable way. That's why we're not just focused on what you do, but who you become. We're committed to fueling your growth, because when you win, we all win. Imagine a place where you feel supported, valued, and empowered to make a real difference. A place where you can build a career you love, to leave your mark in our story!
Public Group strategically invests to create an ecosystem of innovative scaleups around its Omnichannel Retail business, with the objective to provide exciting customer experiences and foster Entrepreneurship in Greece. We bring together technology, talent & entrepreneurship to create value in the Greek market. Our role is to help our subsidiaries or investee companies grow and their founders to succeed through capital and creative synergies. Our investment portfolio includes Public-MediaMarkt, iRepair, Douleutaras.gr, PublicNEXT, Venture Friends.
PublicNEXT leads the digital transformation of retail, with solutions to reimagine processes, integrate technologies and introduce innovative services or platforms that transform employee and customer experience. We develop and unleash the best technology solutions that shape the future of retail. Our team of software developers, engineers, digital and IT experts combine strong technical skills and entrepreneurial thinking to help organizations stay ahead.
As future-ready innovators, we engage in multiple projects and create growth opportunities for everyone to find what they are looking for. Together we can reimagine retail and unleash the best technology platforms to create new capabilities for people and inspire them to enjoy life. We grow by continuously developing on each other’s ideas.
We are seeking a versatile and proactive Cloud Data & Retail Analytics Engineer to join our data engineering team. This blended role combines cloud migration expertise, Python-based data product development, and a strong focus on retail pricing analytics. You will play a critical role in ensuring a seamless migration of our on-premises systems to the cloud while building reusable, scalable data solutions to support pricing strategies and decision-making.
Let’s grow together.
Responsibilities:
Cloud Migration and Architecture (Microsoft Fabric)
- Be part of the team that will migrate on-premises data systems to cloud solutions, ensuring data integrity and minimal downtime.
- Design, develop, and optimize data pipelines for Bronze, Silver, and Gold layers within the Microsoft Fabric ecosystem.
- Monitor and troubleshoot cloud infrastructure performance, ensuring scalability and efficiency.
- Collaborate with the team to implement best practices for data governance, security, and compliance in the cloud.
- Document workflows, architecture, and key processes to support team operations and future scalability.
- Stay abreast of the latest data engineering technologies and trends, particularly within the Microsoft Azure ecosystem, and identify opportunities to leverage new tools and techniques.
Data Product Development and Retail Analytics
- Develop scalable and efficient Python-based ETL scripts for data extraction, transformation, and loading across multiple sources.
- Design, build, and maintain reusable data models to support a variety of retail analytics use cases, including pricing optimization, price elasticity analysis, inventory management, and customer behavior insights.
- Collaborate with analysts and business stakeholders to translate pricing strategies and other business goals into actionable and insightful data products.
- Analyze and process large datasets to uncover trends, patterns, and insights that drive decision-making and improve retail performance, with a focus on areas like pricing, sales, and operational efficiency.
- Test and validate data products for accuracy, usability, and performance, ensuring they meet business requirements.
Cross-Team Collaboration
- Act as a bridge between the data engineering and analytics teams to align on data requirements and business goals.
- Partner with cross-functional teams to explore and incorporate new data sources, tools, and methodologies to enhance the company's data capabilities.
- Provide support and training to team members on using new data products and cloud-based workflows.
Requirements:
Cloud Expertise
- Hands-on experience with cloud migrations and designing scalable data architectures
- 2+ years of experience with Microsoft Data Solutions, including Azure Synapse, Data Lake, Power BI and Microsoft Fabric
- Deep understanding of data warehousing principles and best practices, with experience in implementing dimensional models and star schemas.
- Strong understanding of data governance frameworks and data privacy regulations.
- Experience with data quality testing and validation techniques.
Programming and Data Processing
- Proven expertise in ETL pipeline design and implementation using tools like Airflow, SSIS, and Python (including PySpark).
- Familiarity with SQL for querying and managing data in relational databases.
Analytical Thinking
- Strong problem-solving skills and the ability to identify patterns, trends, and actionable insights in data.
Soft Skills
- Excellent communication and collaboration skills to work effectively with cross-functional teams
- Ability to prioritize tasks in a fast-paced, dynamic environment.
Desirable Qualifications:
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Knowledge of machine learning techniques for predictive analytics in retail pricing.
- Certifications in Azure or Microsoft Fabric are a plus.
- Understanding of retail pricing dynamics, including promotions, discounts, and competitor analysis.
- Experience working with large-scale retail datasets is a strong advantage.
What we offer:
- Competitive compensation & benefits package
- Bonus scheme
- Life & Health insurance
- Behavioral health programs
- Dynamic work environment
- Exciting opportunity to grow with the role
- Great experience in a well-known and respected growing business
- Continues learning opportunities
- Exclusive access to our innovative employee app, OrangeGen 🧡📲
What Does OrangeGen Offer?
🔗 Connect: Engage with your colleagues and management seamlessly, ensuring you're always in the loop and part of our dynamic community.
🎉 Recognize: Celebrate achievements and milestones with a culture of recognition that boosts morale and fosters a positive work environment.
🏆 Custom Rewards: Enjoy personalized rewards and kudos, tailored to recognize your unique contributions and achievements.
Are you ready to be the next #OrangeGen maker?
Orange Gen, is our team of 2.200 people who are committed to cultivating an innovative retailtainment environment, supporting continuous development, and embracing flexibility—all while placing customer centricity at the forefront. We believe in fostering a culture that values your contributions, boosts your ambitions, and supports personal and professional growth. "Joy at Public" is our main motto which lies in creating a workplace where every individual is empowered to excel and evolve, always keeping the customer at the heart of our endeavors. We like to share our moments under the #OrangeTeam celebrating all team's achievements and Orange Marks Stories!
All applications will be treated with the strictest confidentiality.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure CX Data governance Data pipelines Data quality Data visualization Data Warehousing Engineering ETL Excel Machine Learning Pipelines Power BI Privacy PySpark Python RDBMS Security SQL SSIS Tableau Testing
Perks/benefits: Career development Competitive pay Health care Salary bonus
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