Senior Data Engineer (Data Platform)

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

5+ years experience in Data Engineering or Data Platform Engineering or Software Engineering working with Data

Strong SQL expertise, particularly in complex analytical and warehouse queries

Proficiency in Python and/or Java

Experience with Data Warehouses, such as Snowflake or Apache Iceberg

Practical knowledge deploying and operating containerised workloads using Docker and Kubernetes

Knowledge of streaming tooling (Kafka, Kafka Connect, Flink,...)

Experience with ETL/ELT tooling (dbt, Airflow, Airbyte, dlt,..)

Hands-on experience provisioning and managing cloud infrastructure with Terraform

Experience with CI/CD pipelines, automated testing and Git-based development workflows

Familiarity with observability practices, including logging, metrics, alerting and production troubleshooting.

Strong grasp of software engineering principles and best practices

Experience contributing to or leading data warehouse architecture or redesign initiatives

Ability to collaborate effectively with technical and non-technical stakeholders

Strong experience with data warehousing, dimensional modelling, and data architecture

Teya is proud to be an equal opportunity employer.

We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.

If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.