Job Description

Job Title: Senior Data Engineer

Location: London Victoria, Hybrid

Reports to: Engineering Manager

A bit about us

At nudge we believe people need to be in control of their finances. nudge puts you in control of your money. Combining behavioural psychology, data, and personalised education, our financial wellness benefit empowers people to develop their financial skills and knowledge.


A global SaaS solution without conflicting financial products, our inclusive approach is trusted by some of the world's most recognisable brands, such as Meta, Accenture and PepsiCo, to support the financial wellbeing of their employees.

About the team

Our team is united by the shared purpose to create brighter financial futures for everyone, everywhere.


Data is at the heart of our decision-making. You'll work closely with product, data, infosec and engineering teams.

Role purpose

You will be instrumental in designing and building scalable data infrastructure, pipelines, and tooling to support advanced analytics, real-time data applications, and regulatory compliance.


This is an opportunity to make a meaningful impact on the lives of thousands of people across the globe.

What will you be doing?

Things move fast at nudge, and we are always learning. This means we need to stay agile, meaning the responsibilities of a role are never set in stone.

Responsibilities

+ Design, build, and maintain robust, scalable, and secure data pipelines and ETL processes from various structured and unstructured data sources + Leverage data mining techniques to extract meaningful insights from large-scale datasets, including customer transactions, behavioural data, and third-party data providers
+ Develop and optimise data models for analytics and business intelligence applications
+ Integrate and manage open banking APIs and datasets (e.g. PSD2, Open Banking UK, CDR Australia), ensuring compliance with regulatory standards
+ Implement and enforce data governance, privacy, and security standards
+ Evaluate new data technologies and tools to support continuous improvement and innovation in data engineering practices

Skills and experience

To help you do all this, you will need:


+ 8+ years of experience in data engineering, with a strong focus on data mining and big data processing + Strong knowledge of open banking frameworks, protocols, and APIs (e.g. Open Banking UK, PSD2)
+ Proficiency in programming languages such as Python, Scala, or Java
+ Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse)
+ Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka
+ Familiarity with data warehousing concepts and tools (e.g. Snowflake)
+ Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation)
+ Strong understanding of data privacy, data sharing regulations (GDPR, CCPA), and API security
+ Experience in C#
+ Good communication and stakeholder management skills

Interview process:

1. Screening call with Talent Partner, Corinna Jones via Teams


2. Interview with Technical Lead via Teams


3. Face to face interview with CTO, Engineering Manager and Technical Operations Manager (separately)


4. Interview with CCO via Teams

What's in it for you?

We have an open, friendly, and supportive work environment that we hope you'll be proud of. And we're growing fast which means great opportunities for you and your people to gain broad and diverse experience alongside some of the brightest minds in the industry.


We offer a very competitive reward and benefits package, which includes:

Share options Private Medical Insurance Health Cash Plan Life Assurance Critical illness cover A flexible working environment 25 days annual leave, plus your birthday off A personal learning and development allowance A company pension scheme

Our culture and values

We are a business that is powered by our culture and the extraordinary people who work here. Our values are central to our culture and embody the behaviours that make us successful. They are "Friends through thick and thin", "Embracing differences, supporting individuals", "Leading and Sharing" and "Always Learning".