• Design and implement automated data validation frameworks to test data contracts, schema compliance and identity resolution processes within Databricks before information reaches downstream activation platforms.
• Develop and maintain automated UI and behavioural testing scripts that simulate real-world customer journeys across web and mobile applications.
• Programmatically validate behavioural events, mParticle tags and OneTrust consent tokens to ensure accurate event tracking and application-level data collection.
• Test and monitor critical data flows across the Databricks, mParticle, Braze and OneTrust ecosystem, ensuring consistency and reliability between platforms.
• Develop automated integration tests and mock API payloads to verify that actions, user data and audience updates are correctly transferred across systems.
• Design and execute end-to-end testing for data collection pipelines, including POS, web, mobile applications and CRM systems, ensuring data is accurately cleaned, standardised and transformed.
• Validate data freshness, processing accuracy and latency against near-real-time service-level agreements (SLAs).
• Establish and maintain automated data quality and hygiene checks to detect corrupted records, inconsistencies and schema drift in near real time.
• Audit data flows and consent management processes to ensure privacy preferences are consistently respected across systems and comply with applicable regulations, including GDPR and UK GDPR.
• Investigate and troubleshoot data anomalies, identify root causes and collaborate with Data Engineers to resolve pipeline failures efficiently.
• Take ownership of defects throughout their lifecycle, implementing regression tests and preventative measures to avoid recurring issues.
• Contribute to improving testing strategies, automation architecture and quality assurance practices across the wider data ecosystem.

Requirements:

• Bachelor's degree in Computer Science, Data Engineering or a related technical discipline.
• Advanced SQL skills, including the ability to write complex validation queries and scripts to identify anomalies across millions of records.
• Strong proficiency in Python for developing automated test suites, building testing frameworks and interacting with APIs.
• Proven experience designing and implementing data test automation frameworks from scratch.
• Hands-on experience testing within Databricks or an equivalent cloud data warehouse or lakehouse environment.
• Strong understanding of Delta Lake or similar data architectures.
• Experience validating complex data transformations across batch and near-real-time or streaming pipelines.
• Familiarity with data orchestration and transformation tools such as Apache Airflow and dbt.
• Experience testing data flows through Customer Data Platforms (CDPs), particularly mParticle, including event ingestion, identity resolution and audience synchronisation with downstream engagement platforms.
• Proven ability to investigate data anomalies, troubleshoot pipeline failures and collaborate with Data Engineers to resolve issues and prevent regressions.
• Experience testing REST APIs and validating data payloads exchanged between systems and platforms.
• Strong analytical and problem-solving skills, with the ability to work independently and take ownership of technical challenges.
• Nice to have: Familiarity with Braze data ingestion methods, particularly the Data Track API and Cloud Data Ingestion (CDI).
• Nice to have: Experience testing integrations between Customer Data Platforms and engagement platforms, including mParticle audience synchronisation and event forwarding into Braze.
• Nice to have: Knowledge of privacy compliance and consent management frameworks, particularly through tools such as OneTrust.
• Nice to have: Experience integrating automated data quality checks into CI/CD pipelines using tools such as GitHub Actions or GitLab CI.
• A proactive and detail-oriented mindset, with a strong interest in building reliable, scalable and maintainable automated testing solutions.

Benefits:

• Fully remote, location-independent working environment, with the flexibility to work from anywhere in Europe.
• Fixed-term contract offering the opportunity to contribute to impactful international technology projects.
• Fast-paced professional environment with significant opportunities for learning and technical development.
• Strong career progression opportunities, with clear development paths and room to take on greater responsibilities.
• Supportive and collaborative company culture focused on employee wellbeing, teamwork and individual success.
• Opportunity to work alongside talented international colleagues across Europe, the United States and other regions.
• Regular team meetups, company events and collaborative experiences.
• Exposure to cutting-edge technologies across data engineering, customer data platforms, cloud infrastructure and marketing automation.
• Significant ownership and autonomy in shaping automated testing frameworks and quality assurance practices.
• Equipment policy: Bring Your Own Device (BYOD), meaning employees are expected to use their own equipment.
• Work authorisation: Candidates must already have valid work authorisation for their country of employment, as visa sponsorship is not currently available.