Data Quality Analyst / Data Tester (Bulgaria/Romania)

About the Position

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

The project involves migration of legacy and TMS-related data into Google BigQuery as part of a broader data platform modernization initiative. The team is responsible for designing ingestion frameworks, implementing transformation pipelines, ensuring data quality, and delivering production-grade datasets for analytical consumption.

Responsibilities

• Design and implement data ingestion frameworks
• Implement transformation pipelines
• Ensure data quality and validate migrated data
• Analyze discrepancies between source and target datasets and identify their root causes
• Validate ETL/ELT pipelines, including completeness, accuracy, consistency, and transformation logic
• Define and execute data quality checks
• Document defects and work closely with Data Engineers to investigate and resolve data discrepancies

Requirements

• Required Skills:

  • Strong SQL skills, including complex queries, joins, aggregations, window functions, and data comparisons
  • Hands-on experience validating data across different systems, databases, or reporting platforms
  • Proven experience with data quality testing, reconciliation, and validation of migrated data
  • Good understanding of data models, relationships, schemas, and data dependencies
  • Experience testing structured and semi-structured data
  • Ability to translate business and reporting requirements into test scenarios and validation rules
  • Experience documenting defects and working closely with Data Engineers to investigate and resolve data discrepancies
  • Good analytical and problem-solving skills
  • Experience working with Git-based development workflows and Agile delivery teams

• Preferred Skills:

  • Google BigQuery
  • Python
  • BI/Reporting Testing
  • APIs
  • Data Profiling
  • Looker
  • dbt
  • Airflow/Composer
  • GCP
  • Data Observability
  • Data Governance

Nice to Have

• Hands-on experience with Looker or another BI/reporting platform
• Experience with GCP Dataform tests or similar data testing frameworks (e.g. dbt tests)
• Experience in Retail or eCommerce
• Experience with reconciliation of sales, stock, product, customer, or transactional data
• Familiarity with Airflow / Cloud Composer
• Experience with data observability or data quality tools
• Understanding of CI/CD practices for data pipelines and automated data tests
• Experience with Google Cloud Platform and its data services
• Familiarity with Data Governance, metadata management, and data cataloguing
• Experience preparing or validating datasets used for Analytics, Data Science, or Machine Learning

We Offer

• Opportunity to work with a leading global digital transformation partner
• Be part of a team delivering modern applications, data platforms, and AI solutions for top-tier clients
• Work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake
• Strong engineering culture combined with a consulting mindset
• Continuous focus on growth and knowledge sharing

About the Company

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.