Senior Data Scientist - Data Quality Management

BELVEDERE; Warszawa; On-site; PLN 167,000 - 234,000; Full time

Job summary

BELVEDERE in Warsaw is seeking a Senior Data Scientist specializing in data quality to ensure accuracy, completeness and reliability of large datasets. You will identify and resolve data quality issues, support governance initiatives and create reports tracking quality trends and remediation efforts.

The role offers a 6-month on-site contract, collaboration across teams, and exposure to tools like Informatica Data Quality and Talend, with cloud platforms such as Azure or Snowflake.

Qualifications

• 6-8 years of experience in data quality management and data science.
• Proficient in data quality management and data cleansing techniques.
• Strong analytical skills to profile and assess data.
• Experience with SQL and Excel for data manipulation.
• Knowledge of data governance policies and frameworks.
• Attention to detail to ensure data accuracy.
• Experience with IDQ or Talend.
• Knowledge of Power BI or Tableau for reporting.
• Familiarity with Azure or Snowflake.
• Understanding of ETL processes and reverse engineering.
• Python scripting is beneficial.

Responsibilities

• Analyse large datasets to identify and resolve data quality issues
• Cleanse and validate data to ensure accuracy and completeness
• Support data governance initiatives and maintain comprehensive documentation
• Create reports on data quality trends and track remediation efforts
• Collaborate with cross-functional teams to improve data management practices
• Profile and assess data using strong analytical skills
• Manipulate data using SQL and Excel for quality assurance purposes

Skills

Data quality

Data profiling

Analytical thinking

ETL concepts

Python basics

Tools

Informatica Data Quality

Talend

SQL

Power BI

Tableau

Microsoft Excel

Azure

Snowflake

Job description

Senior Data Scientist - Data Quality Management

Location: Warsaw
Contract Type: 6 Months

Job Status: On-Site

• Work on a 6-month contract with a leading organisation in Warsaw
• Apply your data quality expertise using tools like Informatica or Talend
• Collaborate across teams to improve data governance and management practices
• Develop your skills in cloud platforms such as Azure or Snowflake

Company Overview

Our client is an established organisation seeking a skilled data professional to strengthen their data quality initiatives. They focus on maintaining high standards of data accuracy and governance, working with modern tools and cloud technologies to support their operations. This organisation values analytical rigour and collaborative working, offering professionals the opportunity to make a tangible impact on data management practices.

They are currently looking for an experienced Senior Data Scientist to join their team in Warsaw on a 6-month contract. This role offers you the chance to apply your data quality management expertise in a collaborative environment where accuracy and attention to detail are highly valued.

Position Overview

As a Senior Data Scientist specialising in data quality, you'll play a crucial role in ensuring the accuracy, completeness and reliability of large datasets. You'll identify and resolve data quality issues, support governance initiatives, and create meaningful reports that track quality trends and remediation efforts. Your work will directly contribute to improved data management practices across the organisation, helping teams make better-informed decisions based on trustworthy data.

Responsibilities

• Analyse large datasets to identify and resolve data quality issues
• Cleanse and validate data to ensure accuracy and completeness
• Support data governance initiatives and maintain comprehensive documentation
• Create reports on data quality trends and track remediation efforts
• Collaborate with cross-functional teams to improve data management practices
• Profile and assess data using strong analytical skills
• Manipulate data using SQL and Excel for quality assurance purposes

Requirements

• 6-8 years of experience in data quality management and data science
• Proficiency in data quality management and data cleansing techniques
• Strong analytical skills to assess and profile data effectively
• Advanced experience with SQL and Microsoft Excel for data manipulation
• Solid understanding of data governance policies and frameworks
• Exceptional attention to detail to ensure data accuracy
• Experience with data quality tools such as Informatica Data Quality (IDQ) or Talend
• Knowledge of reporting tools like Power BI or Tableau
• Familiarity with cloud platforms such as Azure or Snowflake
• Understanding of ETL processes and reverse engineering techniques
• Scripting knowledge in Python is beneficial

Benefits

• Competitive contract rate for a 6-month engagement
• Opportunity to work with modern data quality tools and cloud technologies
• Exposure to complex data governance initiatives and best practices
• Collaborative working environment with cross-functional teams

You'll work within a professional environment where your expertise in data quality will be valued and your contributions will have direct impact on the organisation's data management capabilities.