Senior Analytics Engineer

Kiss My Apps

. Design, develop, and maintain analytical models for the Web direction using dbt and Databricks .

Posted 11/9/2026full-timeRemote • UkraineSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing analytical models using dbt and Databricks, with a strong focus on data modeling, ETL/ELT processes, and ensuring data quality across marketing and finance domains.

Highest-signal resume keywords

Advanced SQLDbt ModelsPython ProficiencyData Warehouse ArchitectureWeb Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingETL/ELTAnalytical ModelsComplex TransformationsQuery OptimizationIncremental ModelsEvent TrackingUser IdentificationAttribution PrinciplesAutomated Checks

Soft Skills

CollaborationStakeholder Engagement

Tools & Technologies

DatabricksSnowflakeBigQueryGitCI/CD

Industry Keywords

Web ProductsE-CommerceSubscription-Based BusinessesMarketing AttributionData Quality

Tech Stack

Tools & technologies

BigQueryCloudETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, develop, and maintain analytical models for the Web direction using dbt and Databricks
Integrate and standardize marketing data and ensure accurate attribution of users, costs, and revenue
Model user events, conversion funnels, behavioral metrics, and key product metrics
Develop automated checks for web-data completeness, consistency, and accuracy
Develop the data warehouse architecture according to Bronze / Silver / Gold principles
Optimize performance and computing costs
Unify business-metric definitions across Marketing, Finance, Product, and Analytics as a Single Source of Truth
Monitor data quality and freshness, control dependencies, and identify incidents promptly
Implement testing, documentation, code review, and CI/CD practices
Collaborate closely with Web Development, Marketing, Finance, Product Analytics, and Data Engineering
Shape the architecture of web analytics and influence marketing budgets, product profitability, and strategic decisions
Work on attribution, subscription analytics, payment reconciliation, and cross-platform tracking

Requirements

What you’ll need

Advanced SQL: complex transformations, window functions, query optimization, and execution plan analysis
Practical experience with dbt models, macros, tests, incremental models, snapshots, and documentation
Proficiency in Python for automation and data processing
Experience with Databricks, Snowflake, BigQuery, or other Cloud Data Warehouses
Deep understanding of Data Modeling, ETL/ELT, and analytical data warehouse architecture
Experience building analytical models for web products, e-commerce, or subscription-based businesses
Understanding of web analytics, event tracking, user identification, and marketing attribution principles
Practical experience with Git, CI/CD, and code review
Ability to work with stakeholders in Marketing, Finance, Product, and Engineering

Benefits

Comp & perks

Fully remote work from any location in the world, with optional access to offices in Kyiv and Warsaw
Equipment provided regardless of work format or geography
Annual budget covering up to 50% of professional conferences, educational events, and events
Online yoga classes twice per week
English speaking clubs with a native speaker
Opportunities to speak at internal and external Kiss My Apps events
Fixed annual benefits budget, with choice of covering 50% of health insurance, psychotherapy, sports, or dental care
40 days of paid vacation and sick leave without date restrictions
Support and equipment for uninterrupted work during wartime