Key skills
AirflowAWSCloudETLIoTJavaKafkaPythonScalaSparkSQLTableauTensorflowAIMachine LearningMLTensorFlowMLOpsELTData EngineeringAnalyticsLookerBISnowflakeDatabricksLambdaS3GlueAthenaSageMakerKinesisSaaS
About this role
Role Overview
- architect and maintain cutting-edge data systems that power analytics, AI, and operational decision-making
- take ownership of end-to-end data lifecycles, designing pipelines, models, and architectures that support real-time insights and machine learning at scale
- Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases
- Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI
- Manage ingestion, storage, processing, and delivery of structured and unstructured data
- Continuously tune infrastructure for high concurrency, low latency, and cost efficiency
- Ingest telemetry, API, and application data in real time to power dashboards and AI-driven tools
- Provision datasets for ML/AI workloads, integrating with SageMaker, Snowflake ML, and MLOps best practices
- Ensure robust data governance, compliance (GDPR, SOC 2), and enterprise-grade security
- 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
- 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
Tech Stack
- Airflow
- AWS
- Cloud
- ETL
- IoT
- Java
- Kafka
- Python
- Scala
- Spark
- SQL
- Tableau
- Tensorflow
Benefits
- Competitive compensation
- 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