Head of Data Engineering & Analytics at Haptiq

Haptiq is a global technology company dedicated to delivering best in class software and digital solutions engineered to drive profitable and scalable growth for our clients.

Operating as the nexus of portfolio management, growth, and optimization, Haptiq offers SaaS platforms fueled by cutting-edge AI, a comprehensive end-to-end data management platform, and a suite of strategic services.

Among our flagship offerings is Olympus FinTech, a dynamic solution empowering private equity, debt, and CLO managers with customizable and streamlined workflows, robust data management, and sophisticated reporting capabilities.

Pantheon by Haptiq is a platform that helps create interactive, personalized virtual experiences. It uses AI to make content more engaging and customizable, making it useful for entertainment, marketing, and education. Users can easily build and manage these immersive experiences in real-time.

Responsibilities:

• Lead, mentor, recruit, and train a best-in-class data engineering and AI/ML team
• Create and maintain optimal and scalable data pipeline architecture and solutions
• Model reporting schemas for optima retrieval performance and insights
• Enhance the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Amazon Redshift and other data warehouses.
• Create and implement data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader

Skills and Experience:

• 8+ years of experience in data engineering and/or cloud/web engineering or related experience
• 5+ years of experience in leading the teams and being able to directly communicate with the client
• Proficiency with cloud ETL tools such as AWS Glue and Azure Data Factory(ADF) for building data pipelines and orchestrating workflows.
• Experience with data pipeline orchestration using Airflow, Prefect, or similar tools
• Hands-on experience with DBT for data transformation and modeling.
• Solid understanding of data modeling techniques and best practices (dimensional, star schema, snowflake, etc.).
• Expertise in SQl for querying and manipulating large datasets.
• Experience building, maintaining and optimizing data pipelines and overall data platform
• Experience with data orchestration frameworks and tools such as AWS Lambda, Cloud
• Knowledge of at least one popular programming language used for statistical analysis, such as Python and R.
• Experience working with Data Lakes, Data Warehouses and Data Mesh.
• Experience with cloud-based infrastructure providers such as Amazon AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of reporting and data visualization best practices
• Familiarity with business intelligence tools such as PowerBI, Redash, Tableau, Periscope, and Mode Analytics
• Ability to dynamically program PowerBI reports and visualizations
• Bachelor’s degree in Computer Science or equivalent

Benefits of working wit us:

• Work in a highly professional team. Informal and friendly atmosphere in the team.
• Ability to work from our comfortable downtown office in Warsaw.
• Paid vacation - 20 business days per year, 100% sick leave payment.
• 5 sick days per year.
• Equipment provision.
• Inflation-protected wages with regular revision of compensation conditions.
• Partially compensated educational costs (for courses, certifications, professional events, etc.).
• Medical insurance (after the end of the probationary period).
• English and Polish courses - 2 times a week (at the pandemic time - remotely).
• Bright and memorable corporate life: corporate parties 2 times a year, gifts to employees in honor of life events.