Senior Data Engineer

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in United Kingdom
Remote
Senior level
Financial Services
The Role
Lead design and implementation of scalable data warehouses and ETL/ELT pipelines. Build and optimize BigQuery-based data models, partitioning, and backend services. Collaborate with analytics, IT, and business teams to ensure data quality, observability, governance, and operational excellence across cloud environments.
Summary Generated by Built In

Senior Data Engineer

Tech, UK Remote

Overview

Come join our growing software development and data engineering team, building and scaling the next generation of our loan offering and analytics platforms.

We are looking for an experienced Data Engineer with initiative, drive, and strong service mindset, who will play a key role in developing scalable systems, robust data pipelines, and a modern, efficient data warehouse.

Key responsibilities

  • Design, build, and maintain scalable backend services and robust data pipelines.
  • Lead the architecture and implementation of our new company-wide data warehouse.
  • Build data models and partitioning strategies to ensure efficient querying and performance at scale.
  • Collaborate with analytics, IT engineering, and business teams to define and deliver high-quality data and backend solutions.
  • Maintain and optimize database systems, primarily BigQuery ensuring data integrity and high availability.
  • Build reliable ETL/ELT processes using modern orchestration frameworks.
  • Implement best practices around code quality, architecture, data governance, and operational excellence.
  • Drive observability, monitoring, and optimization of backend and data services

Your skills & experience

Essential

  • Experience with cloud environments (GCP, AWS) and cloud-native data services.
  • Proven experience in designing and building data warehouses (cloud-based or on-premises).
  • Expertise with Bigquery and strong SQL skills for performance optimization and data modeling
  • Understanding of structured data sources such as MYSQL and handling semi-structured data including web-traffic data e.g Google Analytics.
  • Experience in designing and building scalable data pipelines (ETL/ELT) using Dataform or DBT
  • Knowledge of data partitioning strategies for handling large datasets.
  • Solid understanding of best practices in software and data engineering (unit testing, version control, CI/CD pipelines).
  • Focus on clean, maintainable code with strong architectural foundation, and clear data lineage 
  • Strong analytical and problem-solving skills.
  • Experience of working collaboratively with key stakeholders

Desired

  • Knowledge of orchestration frameworks like Apache Airflow, Prefect, or similar.
  • Familiarity with NoSQL databases (e.g., MongoDB) is a plus.
  • Experience with DevOps tooling, containerization (Docker, Kubernetes), and infrastructure automation.
  • Strong hands-on experience with Python for backend and data engineering tasks.
  • Proficient in modern developer tooling, including AI-assisted coding environments and code generation tools (e.g. Claude Code, GitHub Copilot or similar)
  • Experience working in a financial services sector

About us

Ahoy there! We’re Evergreen Finance London! Founded in 2014, Evergreen Finance London ltd is a specialist UK-based consumer finance provider. With deep roots in data science, AI-driven decisioning, and regulatory compliance, our business has built a reputation for deploying ethical, tech-enabled lending products that meet modern consumer needs. Evergreen Finance London is the employer and strategic engine behind consumer fintech brands like Moneyboat. We empower brilliant people to build trusted, tech-enabled financial solutions that puts people first. Our focus is long-term value - for our teams, our users, and the industry.

 

We are authorised and regulated by the Financial Conduct Authority and uphold a renowned standard of compliance, across both direct lending and brokerage services. 

Our brand Moneyboat, is a UK-based direct lender that provides consumers with short-term loans from £200 to £1,500. We know the value of flexibility, creativity, and innovation in today’s fintech space, and we work hard to create and deliver best-in-class experiences that support our customers and give them the confidence they need to live life to the full.

Vision, Mission & Values

Our vision, mission & values are what drive the amazing work we do. From the decisions we make to the actions we take, they form the foundations of Evergreen Finance London's brand & strategy.

Our vision describes our view of the world because of Evergreen Finance London. It's the way we want it to be and the reason we keep going, even if times might seem tough. Empowering Financial Confidence, with seamless, responsible, and innovative financial solutions.

When people have access to the financial resources and knowledge that are right for them, we know they can do great things. We exist to help them get access to a solution that's right for them, even when others might have refused to help.

Our core set of values are what we hold to be true, no matter what. We have four core values here at Evergreen Finance London, Accountability, Care, Diligence and Collaboration.

Our vision, mission, and values guide everything that we do. They're the fundamental "pillars" of our company that make us who we are, and help to ensure that anyone we interact with (internal or external) remembers Evergreen Finance London, what we do, and what we stand for.

nal or external) remembers Evergreen Finance London, what we do, and what we stand for.


Benefits

  • Time-off on Birthday
  • Gym benefits
  • Childcare benefits
  • Health cash plan
  • Aviva pension
  • Professional subscription benefits

**Please note that AI technology may be used as part of our recruitment and selection process to evaluate applications. All final hiring decisions continue to be made by our human recruitment team

Skills Required

  • Experience with cloud environments (GCP, AWS) and cloud-native data services.
  • Proven experience in designing and building data warehouses (cloud-based or on-premises).
  • Expertise with BigQuery and strong SQL skills for performance optimization and data modeling.
  • Understanding of structured data sources such as MYSQL and handling semi-structured data including web-traffic data e.g Google Analytics.
  • Experience in designing and building scalable data pipelines (ETL/ELT) using Dataform or DBT.
  • Knowledge of data partitioning strategies for handling large datasets.
  • Solid understanding of best practices in software and data engineering (unit testing, version control, CI/CD pipelines).
  • Focus on clean, maintainable code with strong architectural foundation, and clear data lineage.
  • Strong analytical and problem-solving skills.
  • Experience of working collaboratively with key stakeholders.
  • Knowledge of orchestration frameworks like Apache Airflow, Prefect, or similar.
  • Familiarity with NoSQL databases (e.g., MongoDB).
  • Experience with DevOps tooling, containerization (Docker, Kubernetes), and infrastructure automation.
  • Strong hands-on experience with Python for backend and data engineering tasks.
  • Proficient in modern developer tooling, including AI-assisted coding environments and code generation tools (e.g. Claude Code, GitHub Copilot or similar).
  • Experience working in a financial services sector.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Poole
7 Employees
Year Founded: 2014

What We Do

Moneyboat, part of Evergreen Finance company, is a responsible, direct lender offering short-term loans to UK consumers. Whether it’s an unexpected bill or a short-term cash flow gap, we’re here to help with short-term loans from £200 to £1,500 for up to six months. We’re authorised and regulated by the FCA, and responsible lending is at the heart of everything we do. That means we make sure every loan is affordable and suited to our customers in a time of financial need. Our application process is quick and straightforward, and behind the scenes, we use smart technology to make fair and responsible lending decisions—fast. As we grow as a company, we’re committed to setting the standard for short-term lending while creating a workplace where our team can thrive. Most importantly, It is our promise, principle and professional standard to champion responsible lending and transparent access to credit when our customers need it most.

Similar Jobs

PwC Logo PwC

Senior Data Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
46 Locations
370000 Employees
124K-280K Annually

PwC Logo PwC

Senior Data Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
40 Locations
370000 Employees
99K-232K Annually

PwC Logo PwC

Data Engineer

Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Remote or Hybrid
42 Locations
370000 Employees
77K-202K Annually

Legend Logo Legend

Senior Data Engineer

Digital Media • Gaming • Software • Sports
In-Office or Remote
London, England, GBR

Similar Companies Hiring

Granted Thumbnail
Mobile • Insurance • Healthtech • Financial Services • Artificial Intelligence
New York, New York
23 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account