Senior Data Platform Engineer — Scale Data Solutions

Teya; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Teya in London is seeking a Senior Data Engineer to join our team and shape the future of our data platform. This role focuses on building and maintaining core data infrastructure, spanning ingestion pipelines, orchestration, and governance.

You will expand capabilities, implement ELT across pipelines and infrastructure, and collaborate with engineering teams to leverage data for analytics and AI capabilities.

Qualifications

• 5+ years experience in Data Engineering or Data Platform Engineering.
• Strong SQL expertise, particularly in analytical and warehouse queries.
• Proficiency in Python and/or Java.
• Experience with Data Warehouses (Snowflake, Apache Iceberg).
• Hands-on with Docker and Kubernetes.
• Knowledge of streaming tooling (Kafka, Kafka Connect, Flink).
• Experience with ETL/ELT tooling (dbt, Airflow, Airbyte, dlt).
• Provisioning and managing cloud infrastructure with Terraform.
• Experience with CI/CD pipelines and Git workflows.
• Observability practices: logging, metrics, alerting and production troubleshooting.
• Strong software engineering principles and best practices.
• Experience contributing to data warehouse architecture or redesign.
• Ability to collaborate with technical and non-technical stakeholders.
• Strong experience with data warehousing, dimensional modelling, and data architecture.

Responsibilities

• Designing and evolving the architecture of our data infrastructure.
• Maintaining the existing data platform.
• Ensuring the reliability of our data ingestion pipelines.
• Propagating learnings in the Data Engineering team to other parts of Teya.
• Guaranteeing proper data governance following best practices, while not adding 100 steps of bureaucracy.
• Improving data reliability, quality, and observability across key datasets, while ensuring data pipelines are simple to set up.
• Building, maintaining, and improving data models for large and complex datasets, while ensuring they have a simple lifecycle.
• Designing and optimising ETL/ELT pipelines to support scalable analytics and data products.
• Collaborate with data analysts, analytics engineering and engineering teams to turn their data platform use cases into reliable production solutions.
• Participate in the team's on-call rotation, investigate production incidents and contribute to improvements across Teya to prevent them from recurring.
• Participate in technical discussions and code reviews, contributing to maintainable designs and strong engineering standards.
• Create and maintain clear technical documentation and operational runbooks.

Skills

SQL expertise

Python/Java

Data platform design

Data governance

Cloud infrastructure

Tools

Snowflake

Apache Iceberg

Docker

Kubernetes

Terraform

Airflow

dbt

Job description

Teya in London is seeking a Senior Data Engineer to join our team and shape the future of our data platform. This role focuses on building and maintaining core data infrastructure, spanning ingestion pipelines, orchestration, and governance.

You will expand capabilities, implement ELT across pipelines and infrastructure, and collaborate with engineering teams to leverage data for analytics and AI capabilities.