Software Development Engineer in Test (SDET)

Jobgether; Ireland; Remote; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Fully remote

Fixed-term contract

Global team

BYOD policy

Job summary

Jobgether, on behalf of a partner company, is seeking a Software Development Engineer in Test (SDET) based in Ireland. You will design and implement automated data validation and UI tests across web and mobile apps.

The role focuses on building scalable testing frameworks for Databricks, mParticle, Braze, OneTrust and ThoughtSpot, with GDPR/UK GDPR privacy in scope. Remote-first with international collaboration and a fixed-term contract.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Advanced SQL skills for validating large-scale data.
• Strong Python for automated test development and API interactions.
• Experience creating data test automation frameworks from scratch.
• Experience testing in Databricks or similar data warehouse environments.
• Knowledge of Delta Lake or similar data architectures.
• Familiarity with CDPs and data pipelines.
• Experience with API testing and data payload validation.

Responsibilities

• Design and implement automated data validation frameworks for data contracts and schema compliance.
• Develop automated UI and behavioural tests for web and mobile journeys.
• Validate event tracking across mParticle, OneTrust and related platforms.
• Test data flows across Databricks, mParticle, Braze and OneTrust ecosystems.
• Create automated integration tests and mock payloads for data transfer verification.
• Execute end-to-end testing for data collection across channels and CRMs.
• Monitor data freshness and SLA compliance for data pipelines.
• Establish automated data quality checks and detect schema drift.
• Audit consent management and GDPR/UK GDPR compliance in data flows.
• Investigate data anomalies and drive root-cause analysis with engineers.
• Own defects through lifecycle and contribute to QA strategy.

Skills

Python

SQL

REST APIs

Education

Bachelor's degree in Computer Science

Tools

Databricks

mParticle

Braze

OneTrust

ThoughtSpot

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Development Engineer in Test (SDET) based in Ireland.

As an SDET, you will play a critical role in ensuring the quality, accuracy and reliability of a sophisticated customer data ecosystem. You will design, develop and maintain automated testing frameworks that validate complex data pipelines, integrations and digital customer experiences. Working across modern technologies such as Databricks, mParticle, Braze, OneTrust and ThoughtSpot, you will help protect data integrity and ensure seamless information flows across platforms. You will collaborate closely with Data Engineers and other technical teams to identify defects, investigate anomalies and prevent recurring issues. This is a hands-on engineering position focused on building scalable automation solutions rather than relying on manual testing. You will join a fast-growing, international and remote-first environment that encourages ownership, innovation and continuous professional development.

Accountabilities:

• 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.