Senior Software Engineer in Test, Data / ETL (Remote - EMEA) at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

0.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality, Test Automation, ETL Workflows, Cloud Platforms, Python, SQL, NoSQL, GCP, Terraform, CI/CD, Microservices, Observability, Mentoring, Performance Testing, Security Best Practices, BigQuery

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer in Test, Data / ETL in EMEA. As a Senior Software Engineer in Test specializing in Data and ETL, you will play a central role in ensuring data quality, performance, and reliability across large-scale, cloud-native systems. You will design and implement test automation frameworks, enhance observability, and lead data validation strategies for distributed environments built on modern cloud platforms. This position offers the opportunity to shape data quality standards, mentor peers, and influence automation practices across teams. You’ll collaborate closely with engineers, analysts, and product teams in a fast-paced, remote-first environment that values innovation, technical excellence, and continuous improvement. Accountabilities Lead validation and observability efforts for complex data pipelines powered by tools such as BigQuery, Airflow, Cloud Run, and Firestore. Design and maintain automated testing frameworks to ensure the integrity and scalability of ETL workflows, APIs, and microservices. Establish and enforce quality gates for data transformations, ensuring accurate and consistent data delivery. Integrate automated validation processes into CI/CD pipelines (e.g., GitHub Actions) for continuous deployment reliability. Plan and execute manual and automated tests to monitor data reliability, performance, and compliance. Collaborate with engineering teams to enhance scalability, maintainability, and system performance. Mentor peers in test automation, observability practices, and data validation techniques. Contribute to continuous process improvement through defect analysis, documentation, and feedback loops. 6+ years of experience in QA, SDET, or Data Testing roles, with demonstrated success improving data reliability at scale. 4+ years of hands-on programming experience in Python (TypeScript experience is a plus). Expertise with cloud-based data orchestration and ETL frameworks (e.g., Airflow, Prefect, Dagster) and data warehouses such as BigQuery, Snowflake, or Redshift. Strong knowledge of SQL, NoSQL, and distributed databases, with a focus on troubleshooting and data validation for high-volume systems. Proven experience deploying and maintaining systems in GCP or similar cloud environments, using IaC tools like Terraform or Pulumi. Solid understanding of CI/CD pipelines, microservices architecture, and SaaS product development lifecycles. Excellent communication, problem-solving, and leadership skills, with the ability to mentor and influence technical teams. Bonus points for experience with Playwright, FinOps, performance testing, or security best practices (e.g., PoLP). Fully remote role with flexible working hours across EMEA. Unlimited paid time off and parental leave options. Comprehensive health insurance coverage. Employee stock option plan and home office allowance. Professional development stipend to support continuous learning. Peer recognition programs and a strong, inclusive team culture. Work in a diverse, global environment that values autonomy, collaboration, and innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match for the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead validation and observability efforts for complex data pipelines and design automated testing frameworks. Collaborate with engineering teams to enhance scalability and maintainability while mentoring peers in test automation practices.