Senior Data Engineer
TypeFull-time job
LocationPortugal
Posted3 hours ago
Hello. We’re Teya.
Teya was founded on a simple belief: local businesses deserve better.
They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.
Teya exists to change that.
We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.
We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.
If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you
Your Mission
We are seeking a Senior Data Engineer to join our team and help shape the future of our data platform. This role focuses on data warehousing, scalable data product development, and architectural design, transforming complex data models into reliable and scalable data products that power decision-making across the organisation.
You will play a key role in the redesign and evolution of our data warehouse, helping build a modern platform that supports advanced analytics and lays the foundation for AI and machine learning initiatives. This includes designing scalable data models, improving legacy data solutions, and ensuring high-quality, well-governed datasets that can be reliably used across the business.
As a senior member of the Data Engineering team, you will contribute to platform architecture, data product thinking, and engineering best practices, helping build a world-class scalable Data Platform that enables both analytics and future AI capabilities.
Your main responsibilities will include:
Designing and evolving the architecture of our data warehouse and data platform
Transforming complex data models into scalable, production-ready data products
Building, maintaining, and improving data models for large and complex datasets
Designing and optimising ETL/ELT pipelines to support scalable analytics and data products
Establishing reliable, well-governed datasets that serve as a foundation for analytics and AI/ML use cases
Improving data reliability, quality, and observability across key datasets
Collaborating with stakeholders to define and deliver high-impact data products
Driving automation and improvements across a legacy ETL ecosystem (~1500 pipelines)
Contributing to engineering standards, documentation, and best practices within the data engineering team
Staying informed about modern data platform technologies and industry best practices, contributing ideas that help evolve our data stack and engineering practices.
Your Story
Strong SQL expertise, particularly in complex analytical and warehouse queries
5+ years experience in Data Engineering, Analytics Engineering, or Data Platform Engineering
Strong experience with data warehousing, dimensional modelling, and data architecture
Experience designing and delivering scalable data products
Experience with ETL/ELT tooling (DBT, SSIS, Wherescape, or similar)
Strong understanding of data pipeline architecture and distributed data systems
Proficiency in Python or a similar programming language
Understanding of how data platforms support machine learning and AI workflows
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
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.
Originally posted on Himalayas
Teya was founded on a simple belief: local businesses deserve better.
They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business.
Teya exists to change that.
We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work.
We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand.
If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you
Your Mission
We are seeking a Senior Data Engineer to join our team and help shape the future of our data platform. This role focuses on data warehousing, scalable data product development, and architectural design, transforming complex data models into reliable and scalable data products that power decision-making across the organisation.
You will play a key role in the redesign and evolution of our data warehouse, helping build a modern platform that supports advanced analytics and lays the foundation for AI and machine learning initiatives. This includes designing scalable data models, improving legacy data solutions, and ensuring high-quality, well-governed datasets that can be reliably used across the business.
As a senior member of the Data Engineering team, you will contribute to platform architecture, data product thinking, and engineering best practices, helping build a world-class scalable Data Platform that enables both analytics and future AI capabilities.
Your main responsibilities will include:
Designing and evolving the architecture of our data warehouse and data platform
Transforming complex data models into scalable, production-ready data products
Building, maintaining, and improving data models for large and complex datasets
Designing and optimising ETL/ELT pipelines to support scalable analytics and data products
Establishing reliable, well-governed datasets that serve as a foundation for analytics and AI/ML use cases
Improving data reliability, quality, and observability across key datasets
Collaborating with stakeholders to define and deliver high-impact data products
Driving automation and improvements across a legacy ETL ecosystem (~1500 pipelines)
Contributing to engineering standards, documentation, and best practices within the data engineering team
Staying informed about modern data platform technologies and industry best practices, contributing ideas that help evolve our data stack and engineering practices.
Your Story
Strong SQL expertise, particularly in complex analytical and warehouse queries
5+ years experience in Data Engineering, Analytics Engineering, or Data Platform Engineering
Strong experience with data warehousing, dimensional modelling, and data architecture
Experience designing and delivering scalable data products
Experience with ETL/ELT tooling (DBT, SSIS, Wherescape, or similar)
Strong understanding of data pipeline architecture and distributed data systems
Proficiency in Python or a similar programming language
Understanding of how data platforms support machine learning and AI workflows
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
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.
Originally posted on Himalayas
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