Data Engineer

MindTitan is a machine learning software and product development house working at the intersection of cutting-edge AI and practical software solutions. Headquartered in Estonia, our goal is to establish ourselves as Europe’s premier AI innovation center.

We’re a small, senior-heavy consultancy: no bloated org charts, no endless approval chains. Just a tight-knit team of sharp people solving hard problems for clients who care about the outcome. Every person here carries real weight, and if you have an idea for how we should grow or do things better, you’ll find an open door. We take that seriously.

🌍 Location: Within European Union / Proficiency in Estonian is strongly beneficial

💪 Seniority Level: This is a mid-senior level position with minimum 3 years of actual experience

What will you do?

• Design and build robust ETL/ELT pipelines that serve as the data foundation for AI and machine learning solutions;
• Explore and implement agentic data engineering patterns where relevant — we’re an AI company and expect our data engineers to think beyond traditional pipelines;
• Use dbt to transform raw data into clean, well-documented, and tested datasets;
• Implement automated testing, monitoring, and alerting to ensure data integrity, reliability, and freshness across the entire pipeline lifecycle;
• Work closely with AI/ML engineers and data scientists to design data architectures and feature pipelines;
• Take messy, fragmented data from client source systems and turn it into structured, AI-ready assets built on sound modeling principles;
• Ensure data solutions meet security and privacy requirements (GDPR and similar);
• Some of the technologies you’ll work with: Databricks, dbt, BigQuery, SQL, Python, Airflow (or similar orchestration), Azure / AWS / GCP.

What is needed for this position?

• 3+ years of hands-on data engineering experience with production pipelines to show for it;
• Good command of dbt: you know the difference between a well-structured project and a spaghetti DAG;
• Solid experience with one data platform (Databricks, BigQuery or anything similar): you know its ecosystem well enough to have opinions about it;
• Proficiency in Python and SQL for transformation and pipeline work;
• Sound understanding of data modeling approaches such as Medallion Architecture, Dimensional Modeling, and Data Vault;
• Comfortable with Git and CI/CD pipelines;
• Ability to explain technical architecture decisions clearly to both internal teams and client stakeholders;
• Excellent written and verbal English; Estonian is a strong plus;
• Bonus points if you’re familiar with vector databases, web scraping, Elasticsearch, or just generally not panicking when you encounter a stack you’ve never seen before;
• Located within EU.

What does the application process look like?

We try to keep things as fast and low-bureaucratic as possible, but there are still some steps:

1. Read about the job and fill out the form (link below).
2. We'll write back to you ASAP, usually within a week at most (unless we're flooded with applications - then it may take a little longer to swim out of the flood).
3. We have a few rounds: first, we'll do a technical interview with a test task, and then we have a vibe-check session with the larger team. We guard our team culture and want to give every new team member an honest and transparent view into our work life. You can ask as many questions as you like to see if our team is the right fit for you, and vice versa.
4. If all looks good, we'll sign a contract and onboard you. You'll have a dedicated work buddy to help ease the process.

📩 To apply, either fill out the form https://mindtitan.com/data-engineer/ or write to us directly at [email protected]

Talk to you soon!