We’re Hiring: Senior Analytics Engineer

📍 Tallinn or Tartu, Estonia

Fractory is transforming how manufacturing works.

We’ve built an automated on-demand manufacturing platform that connects engineers and manufacturers across Europe. Customers upload drawings, receive instant quotes, and order parts online in minutes, not days.

As we scale, data is critical.

We’re looking for a Senior Analytics Engineer to own our data foundation, ensuring reliability, clarity, and automation across the business.

If you want to sit at the centre of product, sales, and executive decision-making, this is your role.

🚀 The Role

You will own three critical areas:

Business Intelligence

Deliver dashboards and analyses that give leadership:

• Clear revenue visibility

• Operational performance tracking

• Customer behaviour insights

You turn raw data into decision clarity.

Process Automation & Optimisation

Replace manual, error-prone workflows with:

• Automated pipelines

• Scheduled reporting

• Alerting systems

• Machine learning solutions

Data Management

Ensure data quality, consistency, and accessibility across:

• BigQuery

• Salesforce

• Internal systems

• You’ll establish modeling standards, governance practices, and ensure our data is trustworthy and scalable.

• Your work directly improves time-to-market and operational efficiency.
  
  This role bridges the gap between raw data and faster, more reliable decision-making across Fractory.

🛠 What You’ll Do

• Partner with Executive, Product, and Sales teams to understand data needs

• Build reports, dashboards, and presentations that drive action

• Identify and automate manual workflows 

• Introduce novel methods to optimize workflows

• Manage and optimize the data warehouse and data models

• Ensure data integrity across systems

• Integrate and transform multi-source datasets

• Apply software engineering best practices to analytics (version control, testing, CI)

• Administer Salesforce and related CRM data infrastructure

• Train and onboard business users on data tools and standards

🔍 What We’re Looking For

Core Skills

• Transform data into insights

• Strong SQL proficiency

• Experience with BigQuery and dbt

• Working knowledge of Python for automation and analysis

• Ability to work with complex, multi-source datasets

• Clear communication, explain technical insights to non-technical stakeholders

Nice to Have

• Data governance and documentation frameworks

• ETL/ELT orchestration tools (Airflow, Fivetran)

• Salesforce administration experience

• Experience in machine learning

🎯 You’ll Thrive Here If You

• Think in systems and care about data quality

• Like building foundations, not just dashboards

• Enjoy replacing manual chaos with automation

• Are comfortable working cross-functionally

• Want ownership rather than ticket-based execution

💼 What You Get

💸 Competitive salary
📈 Equity options
💆‍♂️ Stebby €100/quarter wellness benefit
🏥 Private health insurance via Confido (coverage up to €10,350/year)
🌍 International team with real product impact

🧭 Hiring Process

1. 30-min intro call with our Head of People

2. 1-hr deep dive video call with Tiit (Data Scientist & team lead) and Rein (CTO/CO-Founder)

3. Office meet-up, live assignment and team meet up

4. Final 30min call with leadership
   
   We aim to keep the full process smooth and respectful of your time — expect 2–3 weeks from first chat to offer.

📬 Ready to Apply?

If you want to build the data backbone of a fast-scaling manufacturing platform, we’d love to speak with you.