Head of Data Engineering & Analytics

On The Spot Development is a software development company that builds R&D teams for heavily invested startups and tech companies from the UK, EU, and Israel.

This job opportunity is for a position within one of our teams. You will be directly employed by On The Spot and will collaborate closely with our partner companies, contributing to their product's journey.

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.

‍

You will be responsible for fostering a data-driven culture within the organization, ensuring that data insights are effectively used to inform key decisions and achieve strategic objectives.

• Lead, mentor, recruit, and train a best-in-class data engineering 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

• 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