Senior Data Engineer

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.

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Trustonic is an equal opportunity employer.  We do not discriminate on any grounds.