Data Engineer

Job Description

We’re looking for a hands-on Data Engineer to help design and build the scalable data infrastructure behind our platform.

What you’ll work on

• Build and maintain scalable data pipelines for structured and unstructured data.
• Design AI-powered data collection workflows that extract, classify, enrich, validate, and structure information from APIs, websites, documents, public datasets, user inputs, and third-party sources.
• Develop reliable workflows combining traditional data engineering with LLMs, AI agents, retrieval systems, and automated validation.
• Create and maintain data models for digital twins representing products, companies, organisations, customers, markets, people, and simulation environments.
• Clean, normalize, deduplicate, reconcile, and version data from multiple sources.
• Implement data-quality controls, schema validation, monitoring, lineage, logging, retries, and failure recovery.
• Prepare data for AI agents, semantic search, vector retrieval, analytics, forecasting, and simulation engines.
• Build integrations between databases, application services, AI workflows, and simulation systems.

What we’re looking for

• Strong experience with Python and SQL.
• Experience building ETL/ELT pipelines and data-ingestion systems.
• Strong understanding of databases, data warehouses, data modelling, and schema design.
• Experience integrating APIs, webhooks, cloud storage, databases, and external data sources.
• Familiarity with AWS, Snowflake, MongoDB, Databricks, PostgreSQL, or similar technologies.
• Experience with orchestration tools such as Airflow, Dagster, Prefect, dbt, or equivalent.
• Understanding of automated testing, CI/CD, Git, monitoring, and logging.
• Awareness of data governance, privacy, access control, and secure data handling.

AI coding skills

We are looking for someone who can use modern AI coding tools to work faster and more efficiently while maintaining strong engineering standards.

You should be comfortable using tools such as GitHub Copilot, Codex, Claude Code, Cursor, or similar platforms to support:

• Coding and refactoring
• Testing and debugging
• SQL and schema generation
• Documentation
• Infrastructure configuration
• Codebase analysis
• Automation of repetitive engineering tasks

AI-generated code must still be reviewed, tested, secured, and validated before production use.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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