Senior Data Engineer

🕒 June 23

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Trustonic

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🔒 Cybersecurity

📡 Telecommunications

☁️ SaaS

Cybersecurity • Telecommunications • SaaS

Trustonic is a global leader in device-locking technology, offering secure solutions for the mobile, automotive, and IoT industries. Their Telecoms Platform provides sophisticated device-locking capabilities to protect revenue and reduce risk for mobile network carriers, retailers, and financiers. Trustonic’s Secure Platform gives automakers, OEMs, and IoT vendors the confidence to innovate and meet industry standards. Founded in 2012 by ARM, Thales, and G&D, Trustonic combines deep security expertise with real-world experience and certification to deliver top-notch security for billions of devices. Its mission is to connect smartphones and secure devices across various platforms like Android, iOS, and automotive OS.

📋 Description

• Architect and maintain cutting-edge data systems that power analytics, AI, and operational decision-making. • 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.

🎯 Requirements

• 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 • Strong communicator, collaborative, analytical, and strategic. • Ability to balance multiple projects while driving innovation and operational excellence.

🏖️ Benefits

• 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. • Opportunities for professional development and career progression. • Exposure and interaction with global teams. • A commitment to diversity, equity, and inclusion. • A collaborative environment where your voice is valued and your wellbeing is prioritised. • The chance to work on technology that drives global economic inclusion and makes a real difference in people’s lives.