Senior Data Engineer

Role Description

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.

• 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.

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)

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
• Attributes: 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.
• 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.