Senior Data Engineer

Role Overview

• The Senior Data Engineer – Lakehouse & Data Products is responsible for designing, building, and operating scalable, production‑grade data solutions and data products using a modern Lakehouse architecture deployed across AWS and Google Cloud Platform (GCP)
• Collaborate closely with data product owners, architects, and platform teams to deliver trusted, reusable, analytics‑ready data products that support reporting, advanced analytics, and AI/ML use cases.
• Design and implement Lakehouse architectures using object storage and open table formats (e.g., Apache Iceberg) to support ACID transactions, schema evolution, and time‑travel
• Build and maintain batch and streaming data pipelines on AWS and GCP
• Implement medallion architecture patterns consistently across clouds
• Develop curated, governed, and consumption‑ready data products aligned to business domains
• Partner with Data Product Owners and stakeholders to translate requirements into robust technical implementations
• Ensure data products are discoverable, reusable, and well‑documented, supporting analytics and downstream AI/ML use cases
• Design and maintain analytical data models optimized for BI, reporting, and advanced analytics
• Implement data quality checks, validation rules, and monitoring within pipelines
• Manage schema evolution and ensure adherence to enterprise data standards across AWS and GCP
• Apply DataOps and DevOps best practices by implementing CI/CD pipelines for data pipelines and data products.
• Collaborate with platform and DevOps teams to improve observability, reliability, and operational maturity
• Optimize pipelines for performance, scalability, and cost efficiency on both AWS and GCP
• Monitor and tune compute and storage usage in collaboration with platform and FinOps teams
• Act as a senior technical contributor and mentor for junior and mid‑level data engineers
• Participate in design and code reviews to maintain high engineering standards.

Requirements

• 4 to 6 years of experience in data engineering or related roles
• Strong hands‑on experience building Lakehouse‑based data platforms
• Proven experience with AWS data services (e.g., S3, Glue, Kinesis, Athena, Redshift, EMR)
• Proven experience with GCP data services (e.g., GCS, Dataproc, Dataflow, BigQuery, Pub/Sub)
• Experience using open table formats such as Apache Iceberg (or equivalent)
• Proficiency in Python and SQL
• Strong understanding of batch and streaming data processing
• Experience delivering production‑ready data products.

Tech Stack

• Amazon Redshift
• Apache
• AWS
• BigQuery
• Cloud
• Google Cloud Platform
• Python
• SQL

Benefits

• Enjoy your best years with our retirement savings plan
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
• Drive forward your career through professional development opportunities
• Achieve your personal goals with our Employee Assistance Programme.