About this role
Professionals who enjoy turning complex datasets into reliable, domain-grounded query interfaces for business users will find a strong fit in this role at Appnovation Technologies. The engineering team focuses on preparing enterprise domain data and building governed agents that allow stakeholders to query information with confidence.
In this capacity, the engineer will execute lakehouse migrations, convert source tables to open formats like Apache Iceberg, and onboard new data domains such as commercial, finance, and real-world data onto the enterprise platform. Operating across Databricks and Snowflake, the selected individual generates catalogue metadata to power downstream automation while partnering closely with business subject-matter experts through iterative build, test, and validation cycles.
What you will do
- Build and register domain data agents at scale over governed tables across Databricks and Snowflake.
- Perform lakehouse migrations by converting source tables to open formats like Apache Iceberg to enable agent-based access.
- Generate and curate catalogue metadata that feeds downstream automation and data-contract workflows.
- Partner directly with business stakeholders and subject-matter experts through iterative build, test, and validation cycles.
What you need
- Hold a Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Bring 5 or more years of professional experience in data engineering with hands-on practice across modern data warehousing and lakehouse platforms.
- Demonstrate experience building data agents or query interfaces over governed datasets using tools such as Snowflake Cortex or Genie.
- Possess advanced SQL skills together with Spark and PySpark, alongside experience handling pipeline orchestration tools like dbt, Apache Airflow, or Databricks Workflows.
- Implement data quality, observability, and lineage while applying governance controls such as masking and row- and column-level security.
- Display strong stakeholder-facing skills with a track record of translating business requirements into delivered data assets.
Nice to have
- Familiarity with MCP-based data exposure and with embeddings or vector search for retrieval-augmented use cases.
- Experience with AWS and S3 in anticipation of onboarding native cloud data sources.
- Experience with regulated life-sciences data domains including clinical, commercial, or real-world data.
Benefits
- Hybrid working model
- Growth opportunities for personal and professional development
- Supportive work environment with access to company leaders
Skills and tech stack
Questions candidates ask
What is the work model for this role?
The position features a hybrid working model within a collaborative and supportive environment.
What platforms and technologies will I be working with?
You will operate across Databricks and Snowflake, using advanced SQL, PySpark, pipeline orchestration tools like dbt or Airflow, and open formats such as Apache Iceberg.
What kind of data domains will be onboarded?
You will onboard new data domains onto the enterprise data platform, including commercial, finance, research and development, and real-world data.
The application is on the official Appnovation Technologies careers page.
Apply on company site