Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Liberis is building the embedded finance platform that lets partners around the world offer innovative funding products to their small business customers. We're a growth-stage fintech at a point where the platform challenges are genuinely interesting, rethinking how teams are structured and how they ship. Our Data & Insights team builds the data platforms and analytics that enable every decision at Liberis to be data-informed and power AI/ML capabilities.

Responsibilities

Design, build, and maintain resilient data pipelines that ingest data from Azure SQL, SaaS platforms, and event streams into BigQuery.
Write Python code using DLT to define declarative, testable, version-controlled pipelines.
Build and operate ML feature pipelines - low-latency, real-time data streams that feed ML models with accurate, fresh features.
Own the operational health of systems you build - monitoring, alerting, error handling, and incident response.
Collaborate with analytics engineers to understand data needs, validate schema design, and establish data quality standards.
Partner with the AI/ML platform team to design feature stores, streaming feature infrastructure, and model serving pipelines.
Identify and execute optimisation work - improving performance, reliability, and developer velocity.
Mentor junior engineers, helping them grow as engineers and supporting their career development.
Participate in technical decisions about platform direction - infrastructure choices, tooling, architecture trade-offs.
Work cross-functionally with product teams, analytics engineers, BI specialists, and the ML platform team to shape data requirements and platform capabilities.

Requirements

Proven experience within data engineering roles - building and operating data pipelines at scale.
Hands-on experience building Modern Data Stack architectures.
Strong Python programming - write clean, testable, maintainable code with solid error handling and logging.
Fluent SQL - write complex queries, understand execution plans, and optimize for performance and cost.
Experience with cloud data platforms - built data warehouses in BigQuery, Redshift, Snowflake, or similar; understand distributed processing, partitioning, cost optimization, and data governance.
Experience with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi) or equivalent.
Experience working in fast-moving environments where requirements evolve and you adapt quickly without losing sight of reliability.
Understanding of DevOps principles - think in terms of observability, resilience, incident response, and operational excellence.
Experience with DLT or similar declarative ELT frameworks.
Experience with Google Cloud Platform ecosystem (BigQuery, Cloud Run, Pub/Sub, Dataflow).
Experience with Kafka, Pub/Sub, or event streaming platforms.
Experience scaling data systems from 0 to 100M+ events/day.
Experience implementing data quality frameworks (Great Expectations, dbt tests, custom monitoring).
Background in fintech or high-stakes data reliability environments where data quality directly impacts revenue.
Experience working with distributed, asynchronous teams across timezones.
Experience in India tech ecosystem or building in resource-constrained environments.
Experience migrating from legacy data infrastructure (Azure ADF, traditional ETL) to modern cloud-native stacks.

Skills

DLT
Python
SQL
BigQuery
Snowflake
Redshift
DBT
Airflow
Terraform
CloudFormation
Pulumi
GCP
Cloud Run
Pub/Sub
Dataflow
Kafka
Great Expectations

Location

London
Nottingham
Atlanta
Stockholm
Munich
Mumbai

Work Type

Hybrid

Experience Level

Senior Data Engineer

Benefits

Progression opportunities for both individual contributors and people managers.
Real Living Wage employer accreditation.

About the Company

Founded in 2007.
Provided over $3bn of funding to small businesses.
Named in CNBC & Statista Top 150 UK Fintechs for 2025.
Global team with a dynamic presence in 6 key locations.
Thriving community of over 290 innovative minds.
Celebrating over 27 nationalities in our team.
Team brings experience from over 740 previous companies.
Named as one of FinTech’s Finest 50 by Welcome to the Jungle.
Proud to be an accredited Real Living Wage employer.