Senior Data QA Engineer at Exadel Inc (Website)

Wilkowice, Silesian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Data QA, Analytics Engineering, Clickstream Data, Web Analytics, SQL, Data Warehouses, ETL, ELT, Data Pipelines, Communication Skills, Documentation, Data Governance, Testing, Collaboration, Monitoring

Industry

Software Development

Description

Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The customer is one of the largest online gambling companies in the world, with over 26 million clients across all markets. The company was founded in 1997 and listed on Nasdaq Stockholm in 2004. They are committed to offering their clients the best possible deal and user experience, while ensuring a safe and fair gambling environment. What You’ll Do Data quality for clickstream & web analytics Validate Snowplow / clickstream events from collection through to warehouse and reporting layers Check event schemas, properties, timestamps, user IDs, sessions, and attribution fields for accuracy and consistency Monitor and flag issues such as: - Missing or duplicate events - Unexpected spikes/drops - Schema drift / unannounced changes QA for reporting pipelines Test and validate ETL / ELT pipelines feeding dashboards and reporting tables (e.g. marketing, product, funnel performance) Compare source vs transformed data to ensure metrics (sessions, clicks, conversions, revenue, etc.) are accurate and reconciled Help define data quality checks (row counts, null checks, referential integrity, thresholds, anomaly detection) Test design & execution Work with Analytics and Data Engineering to define: - Test cases for new tracking requirements and events - Regression tests when pipelines or schemas change Execute tests in: - Staging and production environments - Using SQL queries, test scripts, and tool-based checks Log defects clearly and track them through to resolution Collaboration & communication Act as the bridge between Analytics and Data Engineering: - Translate analytics requirements into testable data conditions - Escalate issues with clear impact statements (“this breaks X dashboard / Y KPI”) Partner with Data Engineering: - Clarify and request access to tables, views, and logs needed for QA - Align on SLAs for data delivery and fixes Coordinate with web / app teams where tracking implementation needs changes Governance & documentation Maintain up-to-date documentation of: - Event schemas and naming conventions - Known data caveats and limitations - Test plans and standard QA procedures Contribute to data governance by: - Flagging inconsistent naming or definitions - Helping enforce standards across teams What You Bring Strong experience in data quality / data QA / analytics engineering roles Hands-on experience with: - Clickstream or web analytics data (e.g. Snowplow, GA, similar tools) - SQL for investigation, reconciliation, and QA - Working with data warehouses / lakehouses (e.g. Redshift, BigQuery, Snowflake, etc.) Experience testing data pipelines (ETL/ELT) and reporting layers Comfortable working with analytics teams (analysts / product analysts) and engineering / data engineering teams Strong communication skills: - Can explain data issues clearly to both technical and non-technical stakeholders - Can document data issues, risks, and decisions in a structured way Nice to Have Exposure to Snowplow in particular (event schemas, Iglu, enrichment, loaders). Familiarity with: - BI tools (e.g. Power BI, Looker, Tableau) – enough to validate metrics and reports - Data modelling or transformation frameworks (e.g. dbt) Experience with: - Data observability / quality tooling (e.g. Great Expectations, Monte Carlo, Soda, or similar) - Version control (Git) and working with engineering-style workflows (PRs, code reviews) Understanding of web/app tracking implementations (tags, data layers, SDKs) English level Intermediate+ Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Responsibilities

The Senior Data QA Engineer will ensure data quality for clickstream and web analytics, validating events from collection to reporting layers. They will also test and validate ETL/ELT pipelines and collaborate with analytics and data engineering teams to define test cases and execute tests.