About the role:
As a Data Engineer, you’ll be responsible for developing and maintaining the pipelines, transformations, and data models that sit at the core of Foundry implementations. You’ll partner with stakeholders to translate requirements into technical solutions, making sure data is clean, reliable, and accessible to downstream users. Working closely with program leadership and senior engineers, you’ll help ensure that Foundry is leveraged effectively to support enterprise needs in accounting, reporting, and real estate.
About the project:
Our client is a leading, $35B global commercial real estate services and investment firm. To accelerate its digital transformation, the organization is adopting Palantir Foundry as a core data and application platform. The focus is on building scalable solutions that showcase Foundry’s value, drive adoption, and create a pipeline of business-funded initiatives. These efforts aim to enable efficient data transformation and client-specific reporting at enterprise scale. Together, they will strengthen reporting capabilities, improve efficiency, and establish a foundation for data-driven applications across global operations.
Who are we looking for?
Skills & Experience:
- Bachelor's degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering roles;
- Understanding of data governance, data modeling & analysis and data quality concepts and requirements;
- Understanding of data lifecycle, DataOps concepts, and basic design patterns;
- Experience with Palantir Foundry using: Ontology, Ontology manager, Ontology functions /Actions;
- Strong knowledge of Palantir Foundry features Pipeline builder, Workshop, Code repository, Builds;
- Strong knowledge in SQL, database management system and optimization;
- Strong understanding of ETL/ELT processes and workflow orchestration tools (e.g., Airflow) and real-time technologies;
- Proficiency in programming languages like Python, Typescript;
- 5+ years experience working with big data tools and cloud data platforms (at least one AWS, Azure, GCP);
- Knowledge of modern data warehousing tools like Snowflake, Databricks, Redshift;
- Experience with data visualization tools;
- Knowledge of machine learning frameworks;
- Understanding the Real estate industry domain specifics and integrations with ERP data are a plus;
- Analytical mindset with problem-solving skills for debugging complex systems;
- Excellent communication skills for collaborating with technical and non-technical teams.
Responsibilities:
- Design, develop and maintain scalable data processing systems and pipelines;
- Automate and improve data processes for scalability and efficiency;
- Optimize DB queries and systems for speed and efficiency;
- Design and implement efficient data storage solutions (e.g.,relational databases, data lakes, warehouses);
- Monitor data infrastructure for performance and reliability;
- Implement validation processes to ensure high-quality, clean, and reliable datasets, and advanced data governance frameworks;
- Develop tools/scripts to automate repetitive tasks for data processing and monitoring;
- Collaborate closely with the team members and other stakeholders;
- Provide technical support and mentoring to junior data engineers;
- Participate in data governance and compliance efforts;
- Document data pipelines, processes, and best practices;
- Evaluate and recommend new data technologies.
What we offer
Work:
- Flexible working hours;
- Collaborative, friendly team environment;
- Remote/Hybrid work;
Life:
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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