Join Altarya Solutions

Be part of a team that's shaping the future of data-driven solutions

Why Join Altarya?

At Altarya Solutions, we believe that exceptional people create exceptional results. We're always looking for talented individuals who share our passion for innovation and excellence in data solutions.

Environment of Excellence

We live and breathe by our guiding principle: "We strive to create an environment of excellence." This means we foster a culture of support and mentorship, where constant growth and professional development are not just encouraged but embedded in everything we do. Our team members stay at the forefront of new technologies and methodologies, ensuring you never stop learning and growing.

Swiss Tech Hub Exposure

We work exclusively with Swiss-based clients, giving you direct exposure to the vibrant Swiss tech scene. Zurich is Europe's AI hub, home to headquarters and major offices of tech giants including IBM, AWS, Google, Microsoft, Oracle, and many more. Switzerland boasts one of Europe's most active startup scenes, with over €2.3 billion invested in AI startups in 2023 alone, creating unparalleled opportunities for professional growth and networking.

Innovation & Impact

Join a team where your work directly impacts the success of cutting-edge projects. We tackle complex data challenges across industries, from fintech to healthcare, giving you the opportunity to work on solutions that make a real difference. Our collaborative environment encourages creative problem-solving and innovative thinking at every level.

Check Out Our Open Positions

We are currently hiring for our leadership hub in Zurich, Switzerland, and building our talent pool in North Macedonia.

Switzerland

AI Lead

Lead Altarya Solutions' artificial intelligence initiatives and drive innovation across our data projects. Architect cutting-edge AI solutions and lead a team of AI specialists.

Key Responsibilities:

• Design and implement advanced AI/ML solutions for complex business problems

• Lead AI strategy development and roadmap planning

• Manage and mentor a team of AI engineers and data scientists

• Collaborate with clients to identify AI opportunities and define project scope

• Research and evaluate emerging AI technologies and methodologies

• Ensure AI solutions meet the highest standards of ethics, privacy, and compliance

• Present AI strategies and results to C-level executives and technical teams

• Drive continuous improvement in AI capabilities and team expertise

Requirements:

• 5+ years of experience in AI/ML development and leadership

• Proven track record of delivering production AI solutions

• Strong background in machine learning, deep learning, and statistical modeling

• Experience with modern AI frameworks (TensorFlow, PyTorch, etc.)

• Excellent leadership and communication skills

• Advanced degree in Computer Science, AI, or related field preferred

• Experience with cloud AI platforms (AWS SageMaker, Azure ML, GCP AI)

• Fluency in English required; German proficiency advantageous

Work Model: Hybrid position with 2 days per week in our modern coworking space in Zurich city center, plus flexible remote work options. Competitive salary package including equity options, comprehensive benefits, and professional development opportunities.

Data Engineering Lead

Drive technical excellence as Data Engineering Lead. Architect enterprise-scale data platforms, lead a team of skilled data engineers, and solve complex data challenges for Swiss clients.

Key Responsibilities:

• Design and implement scalable, high-performance data platforms and pipelines

• Lead technical architecture decisions for data warehousing, ETL/ELT processes, and real-time streaming

• Manage and mentor a team of data engineers, providing technical guidance and career development

• Collaborate with clients to understand business requirements and translate them into technical specifications

• Evaluate and implement cutting-edge data technologies and best practices

• Ensure data quality, security, and compliance across all solutions

• Present technical solutions to stakeholders and contribute to business development

• Drive continuous improvement in data engineering processes and methodologies

Requirements:

• 7+ years of experience in data engineering with at least 3 years in leadership roles

• Deep expertise in modern data stack (Apache Spark, Kafka, Airflow, dbt)

• Strong experience with cloud platforms (AWS, Azure, GCP) and data services

• Proficiency in programming languages (Python, Scala, SQL) and distributed computing

• Experience with data warehousing solutions (Snowflake, Databricks, BigQuery, Redshift)

• Excellent project management and stakeholder communication skills

• Bachelor's or Master's degree in Computer Science, Engineering, or related field

• Fluency in English required; German proficiency highly advantageous

Work Model: Hybrid position with 2 days per week in our modern coworking space in Zurich city center, strategically located in the heart of Switzerland's financial district. This setup provides the perfect balance of focused collaboration time and flexible remote work, allowing you to maintain work-life balance while contributing to our innovative projects. Competitive compensation package includes performance bonuses, comprehensive health insurance, pension contributions, and professional development budget.

Why Zurich? Join us in Europe's AI capital where you'll have access to world-class conferences, meetups, and networking events. Zurich offers exceptional quality of life with its efficient public transport, cultural attractions, and proximity to leading universities and research institutions.

North Macedonia

Join Our Talent Pool

Apply Now

Take the first step towards an exciting career with Altarya Solutions. By joining our talent pool, you'll be considered for both permanent and temporary employment opportunities as they arise. This is your gateway to working on cutting-edge data projects, gaining invaluable experience, and potentially securing a permanent position with our growing team. We regularly review talent pool applications and reach out when suitable projects become available.