Anadea

About the role:

Our digital business depends on reliable financial and marketing data. We are looking for a highly reliable, detail-oriented Analytics Engineer who will take ownership of the core data architecture behind our Finance and Marketing operations.

In this role, you will be responsible for the daily data operations that support our Payment Service Providers (PSP), Tax reporting, Controlling, Finance reporting, and marketing campaign cost tracking.

You will ensure that our Pentaho ETL pipelines run smoothly through Jenkins, our MariaDB databases remain performant, and our Qlik Sense dashboards consistently deliver accurate, business-critical numbers.

This is a hands-on, high-impact role where precision, stability, and reliability are essential.

What you’ll do:

ETL & Data Architecture

• Own, maintain, and optimize core ETL pipelines built with Pentaho Kettle 9.3 Community.
• Ensure reliable and accurate data transformations across critical business processes.
• Monitor and improve the stability and performance of existing data flows.

Database & Automation

• Work with complex data transformations and queries in MariaDB.
• Optimize database performance and ensure data processes run efficiently.
• Manage and monitor automated jobs orchestrated through Jenkins.

Finance & Marketing Data

• Work daily with transactional and financial data.
• Support data processes related to Payment Service Providers (PSP), Tax reporting, and Controlling reconciliations.
• Manage the ingestion and processing of marketing campaign costs and ad spend from different advertising platforms.

BI & Reporting

• Design, develop, and maintain critical Qlik Sense dashboards and reports.
• Ensure stakeholders receive accurate and consistent financial and operational data.
• Analyze data and translate it into logical conclusions and actionable insights.

Production Support & Troubleshooting

• Investigate and resolve data issues in a live production environment.
• Identify root causes and implement reliable fixes.

• Ensure that daily reporting and month-end financial closing processes are not delayed due to data issues.

   

What we’re looking for:

Experience

• 4+ years of experience working with ETL processes, databases, and BI solutions.

Core technical expertise

• Strong hands-on experience with Pentaho Kettle or similar legacy ETL tools such as Talend or Informatica.
• Solid experience with relational databases: MariaDB, MySQL, PostgreSQL or similar.
• Experience with Jenkins and automated job orchestration.
• Advanced SQL skills.
• Strong understanding of production data processes and error handling.

BI

• Strong experience with Qlik Sense.
• Experience with Power BI or Tableau is also relevant.

Domain experience

• Practical experience working with Finance data, including:
  • Payment Service Providers (PSP)
  • Tax reporting
  • Controlling and financial reconciliations
• Experience working with Marketing data, particularly campaign cost and advertising spend tracking.
   

Soft skills

• Comfortable working under time constraints, especially during month-end financial closing.
• Strong communication and collaboration skills.
• A structured, methodical, and diagnostic approach to problem-solving.
• High attention to detail and a strong sense of ownership.
   

Tech stack

Pentaho Kettle 9.3 Community · MariaDB · Jenkins · Qlik Sense · SQL

Why Join Us? 

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.
• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

About the role
We are looking for an Agile, product-oriented Senior Analytics Engineer to drive our
modern data architecture. You will be the bridge between raw data and business value for
our digital products and online services.
In this role, speed and value are key. You will adopt an MVP (Minimum Viable Product)
mindset to launch data products quickly, iterate fast, and provide actionable insights for our
Marketing and Finance teams. You will work on our cutting-edge stack—building robust
pipelines in dbt and BigQuery, and exposing data through our next-generation semantic
layer in Omni Analytics.

What you will do
● Modern Data Modeling: Design, build, and maintain scalable dbt models in
BigQuery. Transform raw data into clean, tested, and documented data marts ready
for analysis.
● MVP Delivery: Adopt a fast-paced, product-oriented mindset. Launch Minimum
Viable Products for data reporting to give product and business stakeholders quick
answers, then iterate based on feedback.
● Semantic Layer Ownership: Implement and govern the business logic in Omni
Analytics (or similar modern BI tools), ensuring metrics are defined once and trusted
by everyone.
● Cross-Functional Analytics: Collaborate closely with Marketing and Finance
departments to understand our digital platform metrics (CAC, LTV, ROI, conversion
funnels, retention, and MAUs) and translate them into technical solutions.
● Quality & CI/CD: Apply software engineering best practices to data: version control
(Git), automated testing, and CI/CD workflows for data pipelines.

Requirements
● Experience: 6+ years in a Data Engineering, Analytics Engineering, or advanced BI
role.
● Modern Data Stack (Essential): Extensive experience with dbt and cloud data
warehouses (preferably BigQuery, though Snowflake/Redshift is valid).
● BI & Semantic Layers: Experience with Omni Analytics is highly desired.
Alternatively, strong experience in Looker (LookML), Power BI, or Tableau, with a
clear understanding of semantic layers and governed metrics.
● Domain Knowledge: Strong understanding of digital products, online services, and
high-traffic platform dynamics. Exposure to Marketing and Finance data is highly
desirable.
● Technical Skills: Advanced SQL optimization, data modeling (star schema, OBT),
and Git workflow.
● Mindset: MVP-oriented, proactive, and capable of finding innovative solutions to
challenging problems.

Tools you will work with
BigQuery · dbt · Omni Analytics · SQL · Git · Digital product analytics platforms

About the role
The backbone of our digital business relies on flawless financial & marketing operations. We
are seeking a highly reliable and detail-oriented Analytics Engineer to manage and
optimize our core data architecture.
In this role, you will be the absolute owner of the daily data operations that feed our PSP
(Payment Service Providers), TAX, Controlling, overall Finance reporting, and our Marketing
campaign cost tracking. You will ensure our Pentaho ETLs run smoothly via Jenkins, our
MariaDB instances are highly performant, and our Qlik Sense dashboards provide the exact
numbers our stakeholders need. This is a high-impact role where precision and stability are
non-negotiable.

What you will do
● Architecture Management: Own, maintain, and optimize our core ETL pipelines
using Pentaho Kettle (version 9.3 Community).
● Database & Automation: Manage complex data transformations and queries in
MariaDB, and ensure all automated jobs are orchestrated flawlessly through Jenkins.
● Finance & Marketing Domain Ownership: Work daily with transactional data,
payment gateways (PSP), Tax reporting, Controlling reconciliations, and the daily
ingestion of marketing campaign costs from various ad platforms.
● BI & Reporting: Design, develop, and maintain critical financial dashboards and
reports in Qlik Sense, extracting logical conclusions and actionable insights.
● Production Troubleshooting: Diagnose and debug data issues in a live production
environment, ensuring financial closing and daily reporting are never delayed.

Requirements
● Experience: 4+ years of experience implementing ETL processes, managing
databases, and building BI solutions.
● Tech Stack (Essential): Deep expertise in Pentaho Kettle (or similar legacy ETL
tools like Talend or Informatica), relational databases (MariaDB, MySQL,
PostgreSQL), and job orchestration via Jenkins.
● BI Tools: Strong experience in Qlik Sense. Knowledge of Power BI or Tableau is
also valid.
● Domain Knowledge: Proven experience working with Finance data (Payment
Service Providers, Tax reporting, Controlling processes) and Marketing data
(ingesting campaign costs and ad spend tracking).
● Technical Skills: Advanced SQL, and robust error-handling in production.
● Soft Skills: Ability to work well under time constraints (especially during month-end
financial closings), outstanding communication skills, and a methodical, diagnostic
mindset.

Tools you will work with
Pentaho Kettle (v9.3 Community) · MariaDB · Jenkins · Qlik Sense · SQL

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!
 

As a Data Engineer, you will:

• Build, maintain, and improve data pipelines that support marketing, payments, product analytics, reporting, attribution, and LTV analysis.
• Ingest and transform data from advertising platforms, payment systems, and product backends into the data platform.
• Work with Databricks, including Delta Lake and Unity Catalog, to develop and maintain reliable data models and processing workflows.
• Orchestrate data pipelines and scheduled jobs using Apache Airflow.
• Ensure that silver and gold tables are accurate, reliable, and available on time for downstream users and processes.
• Proactively identify, troubleshoot, and resolve data and pipeline issues to optimize both internal and external processes.
• Take ownership of production data workflows, including scheduled jobs, data quality checks, monitoring, and alerting.
• Investigate failed or delayed production runs and ensure that critical daily processes are restored on time.
• Work with stakeholders across Product, Engineering, Marketing, Analytics, and Data Science to understand requirements, evaluate technical options, and develop appropriate data solutions.
• Balance multiple projects and priorities without compromising quality.
• Develop tools and processes that improve data reliability, efficiency, and usability across the organization.
• Consider business requirements, brand standards, cultural nuances, and regulatory requirements when designing and implementing solutions.
• Contribute to an agile working environment and continuously look for opportunities to improve both technical and operational processes.
   

What will make you stand out

We are looking for someone who combines strong technical expertise with analytical thinking, ownership, and the ability to work effectively in a cross-functional environment.
 

Technical experience:

• Solid professional experience in Data Engineering or a closely related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Spark.
• Experience working with Databricks, including Delta Lake and/or Unity Catalog.
• Experience with Apache Airflow and workflow orchestration.
• Experience with GCP, particularly Google Cloud Storage (GCS) and BigQuery.
• Experience building, maintaining, and troubleshooting production-grade data pipelines.
• Understanding of data quality, monitoring, alerting, and reliable data delivery.
• Experience working with APIs and integrating external data sources is highly desirable.
• Experience with dbt.
   

Nice to have:

• Experience integrating advertising platforms or marketing data, such as Google Ads or similar platforms.
• Experience working with payment or subscription platforms, such as Stripe, RevenueCat, or similar services.
• Experience working with marketing attribution, subscription data, customer LTV, or related business analytics.
• Experience in a product-oriented or digital business environment.
• Solid understanding of Agile methodologies.
   

Soft skills

• Excellent analytical and problem-solving abilities, with a strategic approach to tackling complex challenges.
• Strong ownership and accountability for production systems and delivered results.
• Ability to investigate issues independently, identify root causes, and implement sustainable solutions.
• Strong collaboration skills and the ability to work seamlessly with cross-functional teams.
• Exceptional communication skills, with the ability to explain technical topics clearly to stakeholders with different levels of technical expertise.
• Ability to manage multiple projects and priorities while maintaining a high standard of quality.
• Curiosity about the business behind the data — including marketing spend, subscriptions, attribution, LTV, and product performance — rather than focusing only on the pipelines that move the data.
• A proactive mindset and willingness to continuously improve processes, tools, and ways of working.
   
• Advanced English proficiency (В2-С1), both written and spoken, for effective communication in an international working environment.
   

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 20 paid working days of vacation,
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Data Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

We are seeking a highly skilled and experienced BI Developer with Tableau, OMNI and
Looker experience to join our growing team. The ideal candidate will be responsible for
designing, developing, and maintaining interactive and insightful dashboards and reports.
This role requires a strong understanding of data visualization best practices, data modeling,
and business intelligence concepts.

Responsibilities
— Design, develop, and maintain interactive dashboards and reports that meet business
requirements.
— Connect to various data sources, perform data extraction, transformation, and loading ETL
operations.
— Collaborate with stakeholders to understand business needs and translate them into technical
specifications.
— Optimize Tableau dashboards for performance and scalability.
— Develop and enforce data visualization and dashboard design best practices.
— Provide training and support to end-users on Tableau/Looker dashboards and reports.
— Participate in data governance and data quality initiatives.
— Stay up-to-date with the latest Tableau features and industry trends.
— All workflows should be tailored for Agentic Analytics readiness and to be connected and
consumed by AI or through AI.

Requirements
— 3 years of experience as a Tableau BI Developer or with other BI Tools.
— 1 year of experience in mobile application analysis.
— Proven experience in designing and developing complex Tableau dashboards and reports.
— Strong understanding of data warehousing, ETL processes, and data modeling concepts.
— Proficiency in SQL for data querying and manipulation.
— Experience with various data sources, including relational databases, cloud platforms, and flat files.
— Excellent communication, analytical, and problem-solving skills.
— Ability to work independently and as part of a team.

Will be a plus
— Experience with other BI tools (e.g., Looker, Power BI, QlikView).
— Knowledge of scripting languages (e.g., SQL, Python) for data analysis.
— Experience with cloud data platforms (e.g., GCP, BigQuery, Databricks).
— Certification in Tableau Desktop or Server.

Why Join Us? 

    🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.

• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

  🏖️ Vacation & sick leave

• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.

• Public holidays are days off by default.

  ❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

   

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Senior Site Reliability Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

The Mission Are you a cloud architect who finds beauty in a perfectly orchestrated pipeline? Do you believe that "manual" is a four-letter word? We are looking for a Senior SRE specialized in BI Ecosystems to join our mission-critical Infrastructure team. In this role, you won't just "maintain" systems; you will be the master weaver connecting our advanced Data Analytics tools with a rock-solid, automated GCP/AWS backbone. You will bridge the gap between traditional Business Intelligence and modern Cloud Engineering, ensuring our data flows are fast, our visualizations are seamless, and our infrastructure is invisible.

What You Will Do

• Master the Orchestration (GCP & GKE) You will take full ownership of our Google Kubernetes Engine (GKE) clusters. This isn't just about pods and services; you’ll manage advanced networking (VPC Service Controls, Shared VPC) and high-availability node configurations to ensure our data platforms never skip a beat.
• Advance Data Architectures (Lakehouse) You will design and support a unified Data Lakehouse architecture by integrating BigQuery and Cloud Storage. Your mission is to break down silos, ensuring that our raw data and analytical models coexist in a single, high-performance ecosystem. You will implement robust governance and security policies that ensure data quality and accessibility, providing a "single ource of truth" that is both scalable and cost-effective
• Evangelize Infrastructure as Code (IaC) Our goal is 100% immutability. You will use Terraform to automate the entire lifecycle of our GCP resources—from Compute Engine and Cloud Run to Cloud SQL—ensuring consistency across Dev, Staging, and Production.
• Empower DataViz Excellence You will be the enabler for our Data Analysts. You’ll deploy, optimize, and scale Qlik Sense, Tableau, or Similars environments on GCP, handling everything from SSO/IAM authentication to high-performance connectivity with our backend data sources.
• Hybrid Cloud & Legacy Modernization Complexity is our playground. You will manage critical AWS resources (EC2, S3) and ensure seamless interoperability with GCP. Simultaneously, you will lead the charge in migrating legacy monolithic systems into modern, microservices-based architectures.n
• Data Engineering Collaboration Working side-by-side with Data Engineers, you’ll help build and maintain robust pipelines using Cloud Dataflow, Cloud Composer (Airflow), and BigQuery. You ensure that the "plumbing" of our data world is leak-proof and high-performing.

• Reliability, Security & FinOps 
  ● CI/CD: Design sophisticated pipelines (GitLab CI/GitHub Actions) integrating DevSecOps best practices. 
  ● Observability: Implement deep monitoring using Google Cloud Operations Suite and Grafana. 
  ● FinOps: Be the guardian of our budget, identifying and eliminating cloud waste through smart optimization.
  
  Who You Are (Requirements) 

  ● Cloud Expert: Proven experience managing complex environments in Google Cloud Platform (GCP) and AWS. 

  ● Data Architect: Deep understanding of Data Lakehouse models and governance. 

  ● Kubernetes Pro: Deep knowledge of GKE, including advanced networking and security policies. 

  ● Terraform Ninja: Ability to write modular, scalable, and secure IaC. 

  ● BI Infrastructure Savvy: Experience deploying and tuning enterprise visualization tools (Tableau, Qlik, or Power BI). 

  ● Automation Mindset: Strong scripting skills (Python, Bash, or Go) and mastery of CI/CD engines. 

  ● Data-Driven: Familiarity with Big Data tools like Airflow, BigQuery, and Dataflow. 

  ● Security-First: Solid understanding of encryption, IAM roles, and network security standards.\
   

  Why Join Us? 

  ● Impact: You are not a cog in the machine; you are building the machine. 

  ● Tech Stack: Work with the latest tools in the Cloud and Data world (Lakehouse, GKE). 

  ● Culture: We value technical excellence, proactive problem-solving, and a "fail fast, learn faster" mentality. 

  ● Growth: We invest in your certifications and continuous learning. 
   A big plus:

• 🌍 Remote-first & flexible work
• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)
• 🏖️ Vacation & sick leave
• 20 paid working days of vacation during the first year.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.
• ❤️ Health & family benefits
• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

• 📑 FOP / Individual Entrepreneur Support if needed
  🔄 Paid Bench period between projects
  🤝 No time-tracking software — transparent and trust-based time reporting.
  🎁 Referral Program

   

  Ready to redefine how BI meets SRE? 

  If you are a builder who loves solving the puzzle of high-scale data infrastructure, we want to meet you.\

  Apply now and let’s build the future of data infrastructure together!

We are seeking a highly skilled and experienced BI Developer with Tableau, OMNI and
Looker experience to join our growing team. The ideal candidate will be responsible for
designing, developing, and maintaining interactive and insightful dashboards and reports.
This role requires a strong understanding of data visualization best practices, data modeling,
and business intelligence concepts.

Responsibilities
— Design, develop, and maintain interactive dashboards and reports that meet business
requirements.
— Connect to various data sources, perform data extraction, transformation, and loading ETL
operations.
— Collaborate with stakeholders to understand business needs and translate them into technical
specifications.
— Optimize Tableau dashboards for performance and scalability.
— Develop and enforce data visualization and dashboard design best practices.
— Provide training and support to end-users on Tableau/Looker dashboards and reports.
— Participate in data governance and data quality initiatives.
— Stay up-to-date with the latest Tableau features and industry trends.
— All workflows should be tailored for Agentic Analytics readiness and to be connected and
consumed by AI or through AI.

Requirements
— 3 years of experience as a Tableau BI Developer or with other BI Tools.
— 1 year of experience in mobile application analysis.
— Proven experience in designing and developing complex Tableau dashboards and reports.
— Strong understanding of data warehousing, ETL processes, and data modeling concepts.
— Proficiency in SQL for data querying and manipulation.
— Experience with various data sources, including relational databases, cloud platforms, and flat files.
— Excellent communication, analytical, and problem-solving skills.
— Ability to work independently and as part of a team.

Will be a plus
— Experience with other BI tools (e.g., Looker, Power BI, QlikView).
— Knowledge of scripting languages (e.g., SQL, Python) for data analysis.
— Experience with cloud data platforms (e.g., GCP, BigQuery, Databricks).
— Certification in Tableau Desktop or Server.

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Senior Site Reliability Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!
 

As a Data Engineer, you will:

• Build, maintain, and improve data pipelines that support marketing, payments, product analytics, reporting, attribution, and LTV analysis.
• Ingest and transform data from advertising platforms, payment systems, and product backends into the data platform.
• Work with Databricks, including Delta Lake and Unity Catalog, to develop and maintain reliable data models and processing workflows.
• Orchestrate data pipelines and scheduled jobs using Apache Airflow.
• Ensure that silver and gold tables are accurate, reliable, and available on time for downstream users and processes.
• Proactively identify, troubleshoot, and resolve data and pipeline issues to optimize both internal and external processes.
• Take ownership of production data workflows, including scheduled jobs, data quality checks, monitoring, and alerting.
• Investigate failed or delayed production runs and ensure that critical daily processes are restored on time.
• Work with stakeholders across Product, Engineering, Marketing, Analytics, and Data Science to understand requirements, evaluate technical options, and develop appropriate data solutions.
• Balance multiple projects and priorities without compromising quality.
• Develop tools and processes that improve data reliability, efficiency, and usability across the organization.
• Consider business requirements, brand standards, cultural nuances, and regulatory requirements when designing and implementing solutions.
• Contribute to an agile working environment and continuously look for opportunities to improve both technical and operational processes.
   

What will make you stand out

We are looking for someone who combines strong technical expertise with analytical thinking, ownership, and the ability to work effectively in a cross-functional environment.
 

Technical experience:

• Solid professional experience in Data Engineering or a closely related role.
• Strong proficiency in Python and SQL.
• Hands-on experience with Apache Spark.
• Experience working with Databricks, including Delta Lake and/or Unity Catalog.
• Experience with Apache Airflow and workflow orchestration.
• Experience with GCP, particularly Google Cloud Storage (GCS) and BigQuery.
• Experience building, maintaining, and troubleshooting production-grade data pipelines.
• Understanding of data quality, monitoring, alerting, and reliable data delivery.
• Experience working with APIs and integrating external data sources is highly desirable.
   

Nice to have:

• Experience with dbt.
• Experience integrating advertising platforms or marketing data, such as Google Ads or similar platforms.
• Experience working with payment or subscription platforms, such as Stripe, RevenueCat, or similar services.
• Experience working with marketing attribution, subscription data, customer LTV, or related business analytics.
• Experience in a product-oriented or digital business environment.
• Solid understanding of Agile methodologies.
   

Soft skills

• Excellent analytical and problem-solving abilities, with a strategic approach to tackling complex challenges.
• Strong ownership and accountability for production systems and delivered results.
• Ability to investigate issues independently, identify root causes, and implement sustainable solutions.
• Strong collaboration skills and the ability to work seamlessly with cross-functional teams.
• Exceptional communication skills, with the ability to explain technical topics clearly to stakeholders with different levels of technical expertise.
• Ability to manage multiple projects and priorities while maintaining a high standard of quality.
• Curiosity about the business behind the data — including marketing spend, subscriptions, attribution, LTV, and product performance — rather than focusing only on the pipelines that move the data.
• A proactive mindset and willingness to continuously improve processes, tools, and ways of working.
   
• Advanced English proficiency (В2-С1), both written and spoken, for effective communication in an international working environment.
   

Why join us?
 

🌍 Remote-first & flexible work

• Fully remote working model.
• Access to an office if there is one available in your location.
• Monday–Friday, 40-hour working week.
• Flexible working hours: schedule options between 08:00 and 19:00, including a 1-hour lunch break (the only requirement is a minimum of 5 hours of overlap with the team)

🏖️ Vacation & sick leave

• 15 paid working days of vacation during the first year.
• 20 working days after 2 years.
• 25 working days after 3 years.
• 10 paid sick days per year (for childcare would also be covered), compensated at 100% of salary.
• Public holidays are days off by default.

❤️ Health & family benefits

• Medical insurance or medical insurance compensation.
• Company gifts for:
  • Birthday
  • Wedding
  • Birth of a child
• Paid lunches at the office.
• Family days etc.

📑 FOP / Individual Entrepreneur Support if needed
🔄 Paid Bench period between projects
🤝 No time-tracking software — transparent and trust-based time reporting.
🎁 Referral Program

If you are a Data Engineer who enjoys building reliable data infrastructure, taking ownership of production, solving complex problems, and understanding how data impacts real business decisions, we would love to hear from you.

ABOUT THE ROLE

Due to continuous growth, our Data Platform is excited to welcome a motivated Data Engineer to help us align reliable marketing, payments, and product data with business goals to drive organizational success.
As a Data Engineer, you’ll play a vital role in building and operating the pipelines that feed daily reporting, attribution, and LTV and be responsible for ingesting data from ad platforms, payment
systems, and product backends into Databricks, orchestrating jobs in Airflow, and keeping silver/gold tables accurate and on time. Working closely with Analytic, Marketing and Data Science teams, you’ll have the opportunity to make a meaningful impact on both our products
and processes.
If you’re passionate about solving complex problems, collaborating across departments, and driving results, this role is perfect for you!

YOUR MISSION
As a Data Engineer you will:
● Proactively identify, troubleshoot, and resolve issues to optimize both internal andexternal processes.
● Balance multiple projects without sacrificing quality, aligning your work with brand standards, cultural nuances, and regulatory requirements.
● Engage with diverse stakeholders (e.g., product, engineering, and marketing teams) to gather requirements, evaluate options, and develop tools and processes to support our organization’s goals.

WHAT WILL MAKE YOU STAND OUT FROM THE CROWD
We’re looking for someone with a balance of hard and soft skills who can thrive in a dynamic,
cross-functional environment. Here’s what we’d love to see:
● Excellent analytical and problem-solving abilities, with a strategic approach to tackling challenges.
● Strong collaboration skills for working seamlessly with cross-functional teams.
● Exceptional communication skills for engaging stakeholders across various levels.
● Advanced English proficiency in both speaking and writing, enabling clear and effective interactions.
● Experience with Python, SQL, Spark, Databricks (Unity Catalog / Delta), Apache Airflow, and GCP (GCS, BigQuery); dbt and ads/payments APIs (Google Ads, Stripe, RevenueCat or similar) are a plus. A solid understanding of agile methodologies.
● Comfort owning production: scheduled jobs, data quality checks, alerting, and getting a failed daily run back on time.
● Curiosity about the business behind the tables — marketing spend, subscriptions, and attribution — not only the pipelines that move them.

We're looking for a Senior Site Reliability Engineer to join our dream team and play a crucial role in building the Infrastructure and DevOps department that powers our innovative, industry-leading products.
 

How will you make a difference?

● Solid experience (3+ years) participating in and contributing to DevOps transformations and infrastructure evolution

● Strong proficiency with Google Cloud Platform (GCP) services, including services like Cloud Run, BigQuery, Cloud Storage or Networking

● Solid experience with Infrastructure as Code tools (e.g., Terraform) for provisioning and managing GCP resources

● Experience with containerization technologies (e.g., Docker)

● Experience with monitoring and logging tools specific to GCP (e.g., Cloud Monitoring, Cloud Logging, Prometheus, Grafana)

● Experience with some programming languages (preferably Typescript, JS, Go or Python)

● Knowledge of version control systems (e.g., Git)

● A strong preference for working in agile and dynamic environments

● Ability to contribute to teamwork and effective collaboration across teams
 

What will you do?

● Implement and refine monitoring, logging, and alerting strategies using GCP's native tools and other relevant solutions

● Maintain and improve Continuous Integration and Continuous Deployment (CI/CD) pipelines

● Collaborate with mobile, web and backend development teams to implement best practices for deployment, performance optimization, and observability of mobile backends on GCP.

● Ensure that security best practices are followed in the configuration of GCP infrastructure and deployment pipelines for mobile backends.

● Maintain detailed technical documentation on deployment architecture, processes, and troubleshooting guides specific to our mobile backend infrastructure on GCP.

● Assist in identifying and implementing improvements to our GCP infrastructure and DevOps processes to enhance efficiency and reliability.