Senior Data Engineer at Trustonic

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Snowflake, Databricks, ETL/ELT, Data Modeling, Real-time Streaming, Kafka, Kinesis, Spark, Airflow, SQL, Python, Java/Scala, SageMaker, Data Governance, GDPR Compliance

Industry

technology;Information and Internet

Description

Company Description Who we are... At Trustonic, we make smartphones affordable for the many, enabling global access to devices and digital finance through the world’s most secure smartphone locking technology. We partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions that drive economic inclusion, profitability, and growth. We pride ourselves on living by the Trustonic culture code, a blueprint for our journey that recognises that great working environments don’t guarantee success, but bad ones almost always ensure failure. Working here, you’ll find a company that celebrates its diversity and is looking to do the right thing: for each other, the community and the planet. We believe in equal opportunities and take to heart the old African proverb ’If you only want to go fast, go alone. If you want to go far, go together’. We work flexibly when and where we’re at our best, but regardless of how you choose to work, we’ll make sure you feel like one of the team. Click here if you would like to find out more about Trustonic's culture code. If you would like to work in a fast-moving global technology company, with great ambition, then we’d love to hear from you! Job Description A bit about the team and what you'll deliver... We’re looking for a Senior Data Engineer to architect and maintain cutting-edge data systems that power analytics, AI, and operational decision-making. In this role, you’ll take ownership of end-to-end data lifecycles, designing pipelines, models, and architectures that support real-time insights and machine learning at scale. As a Senior Data Engineer, you will: Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases. Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI. End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data. Performance & Cost Optimisation: Continuously tune infrastructure for high concurrency, low latency, and cost efficiency. Real-Time Integration & Analytics: Ingest telemetry, API, and application data in real time to power dashboards and AI-driven tools. ML & AI Enablement: Provision datasets for ML/AI workloads, integrating with SageMaker, Snowflake ML, and MLOps best practices. Data Governance & Security: Ensure robust data governance, compliance (GDPR, SOC 2), and enterprise-grade security. Collaboration & Strategy: Work closely with Product, Engineering, DevOps, and Analytics teams to align data solutions with business goals. What we’re looking for... Experience: significant experience in technology roles, with 5+ years in data engineering on real-time, scalable cloud platforms (AWS & Snowflake preferred). Experience in SaaS/product companies managing large-scale IoT, telemetry, or digital datasets is highly desirable. Technical Expertise: AWS (S3, Glue, Lambda, Athena, Kinesis), Snowflake (data pipelines, schema design, query optimization) Data modeling, ETL/ELT, real-time streaming (Kafka, Kinesis) Big data processing (Spark, Airflow), SQL, Python, Java/Scala BI & analytics platforms (Tableau, Looker) ML/AI integration (SageMaker, TensorFlow, Snowflake ML, feature stores) Data governance, security, and compliance frameworks Attributes: Strong communicator, collaborative, analytical, and strategic. Ability to balance multiple projects while driving innovation and operational excellence. Qualifications Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field (Master’s preferred) Relevant certifications (AWS Certified Data Analytics, Solutions Architect, SnowPro Core) Additional Information What we can provide you in return for your investment... Competitive compensation A base salary that reflects your expertise and impact. Bonus scheme to share in our success. Flexibility & work-life balance Remote working arrangements to support your lifestyle. An open holiday policy with no upper limit—take the time you need, when you need it. Support for volunteering and causes that matter to you. Growth & development Opportunities for professional development and career progression. Exposure and interaction with global teams. Inclusive, supportive culture A commitment to diversity, equity, and inclusion. A collaborative environment where your voice is valued and your wellbeing is prioritised. Impact & purpose The chance to work on technology that drives global economic inclusion and makes a real difference in people’s lives. #LI-Remote Trustonic is an equal opportunity employer. We do not discriminate on any grounds. We empower, engage, enable and value differences between people, including; different races, ethnicities, genders, ages, religions, disabilities and sexual orientations, with differences in education, backgrounds, skill sets, experiences and knowledge.

Responsibilities

The Senior Data Engineer will be responsible for architecting and maintaining cutting-edge data systems to power analytics, AI, and operational decision-making across end-to-end data lifecycles. This includes designing scalable, cloud-native data architectures and developing efficient ETL/ELT pipelines supporting real-time insights and machine learning at scale.