Chief Data Officer

ESTO Group

. Own the data platform architecture, cost, and roadmap for a modern AWS lakehouse stack using Databricks, dbt, and Prefect .

Posted 11/9/2026full-timeTallinn • EstoniaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data platform architecture and machine learning model governance within regulated environments, with a strong focus on leveraging AWS, Databricks, and automated data processes to drive business outcomes in lending and payments.

Highest-signal resume keywords

Data Platform ArchitectureMachine Learning Model GovernanceAWS Lakehouse StackProduction SQL and PythonExperience in Lending or Banking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSQLPythonModel Performance EvaluationData Pipeline DebuggingAutomated Data FeedsFeature EngineeringReal-Time Data ServingModel GovernanceData Analytics

Soft Skills

LeadershipClear CommunicationProblem SolvingPrioritizationCollaboration

Tools & Technologies

DatabricksDbtPrefectAI ToolsCloud Data Stack

Industry Keywords

LendingPaymentsBankingRegulated EnvironmentDecision-Heavy Business

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Own the data platform architecture, cost, and roadmap for a modern AWS lakehouse stack using Databricks, dbt, and Prefect
Run credit, fraud, and pricing machine-learning models in production, from feature platform to real-time serving, together with the Chief Credit Officer
Make the data layer agent-ready through a semantic layer, governed access, LLM-driven analytics, and internal AI tools
Own model governance and regulatory data feeds, ensuring they are automated, audited, and accurate
Deliver automated treasury feeds and data supporting investor and lender reporting
Lead Data Engineering, Analytics, and Data Science by setting priorities, clearing blockers, and serving as the company-wide data contact
Report to the CEO as a member of the leadership team
Drive lower credit losses, higher approval rates, faster reporting, and cheaper infrastructure
Provide an example of a model or data system shipped to production and its business impact

Requirements

What you’ll need

7+ years in data and machine learning, including several years leading a data or ML function in lending, payments, banking or another regulated, decision-heavy business
Hands-on today: production SQL and Python, PR reviews, pipeline debugging and model performance from the confusion matrix up
ML models shipped to production that moved a business metric, ideally credit risk or fraud
Deep experience with a modern cloud data stack (AWS, Databricks or equivalent, dbt, orchestration, near-real-time pipelines)
Daily user of AI tools (Claude, Cursor or similar) with a clear view of where they help and where they fail
Comfortable owning model governance in a regulated environment and defending it to auditors and regulators
Direct, clear written English
Experience in lending, payments, banking, or another regulated, decision-heavy business

Benefits

Comp & perks

28 days annual leave + public holidays + your birthday off, always
Hybrid work with flexible hours
Paid sick leave + 3 wellbeing days
Modern, pet-friendly office in the heart of Tallinn
Fully stocked kitchen: snacks, fruit & drinks
Monthly Stebby allowance for sports & wellness
Collaborative, multicultural team
Regular events & offsites
Room to bring ideas and make real impact