Senior Data Engineer on Azure

About this role

Who are we We are a vibrant tech company that augments and empowers technical teams for both international and Greek clients. What sets us apart is our unique blend of coaching, continuous learning, and innovation, forming an ecosystem where professionals don’t just contribute, they grow. By joining Agile Actors , you don’t just work on cutting-edge solutions: You become part of diverse, dynamic teams where every step is a new career milestone. Our tech professionals augment teams that are global leaders in their domains, such as Austrian Post, Red Hat, Swissquote, etc. We are firm believers that work should be more than just a job: It should be a place where people thrive. That’s why we’re proud to be officially certified as a Great Place to Work 2026 , a recognition that reflects our commitment to creating an environment where talent , passion , and growth flourish. Our values Having a purpose Being adventurous Being Agile Respect and Empower Authenticity and Trust Evolving through our clients Whom are we looking for We’re looking for tech professionals with purpose , curiosity , and passion , people who see challenges as opportunities and want their work to have real impact. If solving problems excites you and collaborating with others inspires you, you’ll feel right at home with us. At Agile Actors , being part of our team means being adventurous and agile , ready to embrace new ideas and adapt to dynamic environments. You’ll join one of our local teams in Athens, working with talented clients to deliver solutions that shape the future of technology. As you grow through projects with global leaders, you’ll be constantly evolving, while being supported in an environment built on trust , respect , and empowerment . Requirements 5+ years of related working experience Good knowledge of OLTP, Data Warehouse relational and multi-dimensional databases design and implementation ( Normal Forms, Star Schemas), ideally working experience on Azure Synapse or Azure SQL DW Experience with T-SQL programming (store procedures, functions, joins, analytics functions, CTEs ) Understanding of Database optimization techniques (indexes, partitioning ) Understanding of ETL process design and experience with an ETL tool used in the industry (eg SSIS, Azure Data Factory, Databricks) Some experience with Apache Spark Understanding of Azure Data Lake Storage Bachelor's degree in Computer Science or equivalent subject Understanding of fundamental computer science knowledge (data structures, algorithms, etc.) Strong problem-solving skills and analytical thinking along with a desire to keep learning, growing & teaching Benefits Compensation benefits Tailored Remuneration Package that recognizes your expertise with a competitive salary Private Health Care Insurance to ensure your physical well-being. Ticket Restaurant Card Psychological Support through a professional helpline for you and your family, with 5 free sessions included to promote mental well-being. Developmental Benefits Internal Coaching Program empowers your growth, with experienced coaches supporting both technical and soft skills development. Personal Development Plan tailored with your coach to align with your career aspirations. 360° Continuous Feedback Model to keep your skills and performance aligned with your goals. Unlimited Training & Learning resources to cover all aspects of your professional growth, including access to various online platforms such as Udemy, Coursera, and Pluralsight from day one. Career Development Pathways that offer mentoring, leadership programs, and opportunities to enhance both technical and leadership skills. Chapters (Internal Communities) for sharing knowledge, mentoring, and shaping technology’s future. Diverse Customer Ecosystem offers dynamic opportunities for career growth and development. Onboarding Buddy to support and guide you from day one. Working model Hybrid (3 days in the client's premises and 2 days remote) Work-Life Balance with a culture that promotes flexibility and sustainability. By clicking "Apply" for this Job, you agree that you have read and accepted our terms relating to job applicants and that you provide your consent for the processing of your personal data for the purposes described therein.