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What will you do?
Data Infrastructure
- Build, maintain, and optimize databases and data storage solutions (Google BigQuery, Cloud SQL);
- Design and implement efficient data flow solutions (ETL/ELT processes);
- Ensure the stability, security, accessibility, and availability of the data infrastructure.
Data Automation and Integration
- Automate data collection, processing, storage, and visualization workflows;
- Develop integrations between various marketing platforms (GA4, Google Ads, Meta Ads, LinkedIn, DV360, etc.) and a centralized data warehouse;
- Optimize data collection accuracy and quality.
Analytics and Visualization
- Write and optimize SQL queries for data analysis and reporting;
- Build and improve data visualization solutions (Looker Studio, Power BI);
- Transform raw data into valuable business insights.
Collaboration
- Work with media, analytics, and strategy teams to understand their data needs;
- Provide consultation on technical and data architecture solutions;
- Contribute to DevOps practices: monitoring, documentation, automation.
Requirements
- Higher education in IT, Data Engineering, or a related field;
- Strong SQL skills — query writing, optimization, complex JOINs, and aggregations;
- JavaScript knowledge — ability to read, write, and debug code (especially in GTM/GA4 ;-context);
- English proficiency at B2 level — communication with international partners.
Highly Valued
- Experience with data orchestration tools (Apache Airflow, dbt, Dataform);
- Understanding of marketing data sources (GA4, Google Ads API, Meta Marketing API);
- Experience building API integrations;
- Interest in data engineering best practices and innovations.
Personal Qualities
- Ability to independently identify and solve data quality issues;
- Analytical thinking and attention to detail;
- Willingness to learn and grow with the team;
- Good communication and collaboration skills.
We offer
- Work in an innovative, leading agency in a rapidly growing market;
- Opportunities for professional development and career growth;
- A dynamic, professional team and an engaging work environment;
- Salary: €2260–€3000 gross (before taxes). The salary depends on experience and existing competencie.
We will contact only shortlisted candidates.
Key Skills
Ranked by relevance
google ads
storage
sql
data visualization
data analysis
devops
apache
looker
cloud
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Login to Apply
- Posted
- Oct 10, 2025
- Type
- Full-time
- Level
- Associate
- Location
- Vilnius
- Company
- HR factory Lithuania
Industries
Advertising Services
Data Infrastructure
Analytics
Marketing Services
Categories
Administrative
Engineering
Information Technology
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