Were Hiring: Senior Analytics Engineer
Tallinn or Tartu Estonia
Fractory is transforming how manufacturing works.
Weve 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.
Were 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:
You turn raw data into decision clarity.
Process Automation & Optimisation
Replace manual error-prone workflows with:
Data Management
Ensure data quality consistency and accessibility across:
BigQuery
Salesforce
Internal systems
Youll 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 Youll 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 Were 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
Youll 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 10350/year)
International team with real product impact
Hiring Process
30-min intro call with our Head of People
1-hr deep dive video call with Tiit (Data Scientist & team lead) and Rein (CTO/CO-Founder)
Office meet-up live assignment and team meet up
Final 30min call with leadership
We aim to keep the full process smooth and respectful of your time expect 23 weeks from first chat to offer.
Ready to Apply
If you want to build the data backbone of a fast-scaling manufacturing platform wed love to speak with you.
Were Hiring: Senior Analytics Engineer Tallinn or Tartu EstoniaFractory is transforming how manufacturing works.Weve 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...
Were Hiring: Senior Analytics Engineer
Tallinn or Tartu Estonia
Fractory is transforming how manufacturing works.
Weve 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.
Were 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:
You turn raw data into decision clarity.
Process Automation & Optimisation
Replace manual error-prone workflows with:
Data Management
Ensure data quality consistency and accessibility across:
BigQuery
Salesforce
Internal systems
Youll 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 Youll 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 Were 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
Youll 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 10350/year)
International team with real product impact
Hiring Process
30-min intro call with our Head of People
1-hr deep dive video call with Tiit (Data Scientist & team lead) and Rein (CTO/CO-Founder)
Office meet-up live assignment and team meet up
Final 30min call with leadership
We aim to keep the full process smooth and respectful of your time expect 23 weeks from first chat to offer.
Ready to Apply
If you want to build the data backbone of a fast-scaling manufacturing platform wed love to speak with you.
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