About the role
We are looking for a Lead Data Engineer to join the team working on an end-to-end data platform solution for a client within financial services. You'll be an integral part of an expanding engineering team working in close collaboration with our clients' in-house team.
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;
- 7+ years of experience in data engineering roles and leading data engineering teams;
- Database management and SQL proficiency, Knowledge of modern data warehousing tools like Snowflake, Databricks, Redshift (hands-on);
- Data modeling and design;
- Programming skills (Python, Spark)
- Understanding of data governance, data modeling & analysis, and data quality concepts and requirements;
- Experience with Palantir Foundry using: Ontology, Ontology manager, Ontology functions/Actions;
- Strong knowledge of Palantir Foundry features: Pipeline builder, Workshop, Code repository, Builds;
- Knowledge of big data technologies, machine learning integration or API development;
- Proficiency with cloud platforms (at least one AWS, Azure, GCP) for scalable solutions;
- Expertise in streaming pipeline design and complex data transformation;
- Ability to analyze system requirements and translate them into effective technical designs;
- Experience with performance optimization for large-scale databases;
- Knowledge of CI/CD practices;
- Problem-solving mindset to address technical challenges in dynamic environments;
- Collaboration skills to work effectively with cross-functional teams;
- Expertise in using and/or introducing AI-based coding practices to the projects.
Responsibilities
- Coordinate the data engineering activities across the team and ensure delivery of data projects;
- Work with the Data Architect to implement architectural designs and standards;
- Build, test, and maintain high-performance data pipelines, including batch and real-time;
- Implement CDC pipelines and maintain them across production systems;
- Develop and optimize data models for efficient storage and querying;
- Monitor pipeline/system health, identify bottlenecks, and tune performance for scalability;
- Maintain compliance with data security and governance policies defined by architecture teams;
- Collaborate with analysts, scientists, and software engineers to deliver reliable data solutions;
- Stay updated on tools and frameworks to improve team productivity.
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.
What we offer
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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