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Principal Data Engineer

EML
London
2 weeks ago
Applications closed

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About EML
EML Payments is a global leader in the fintech space. Our mission is to create awesome, instant, and secure payment solutions that connect our customers to their customers, anytime, anywhere, wherever money is in motion. Our Purpose is to inspire transformative digital change for our customers and communities.

As an issuer and processor, we provide our clients and partners with innovative alternatives to traditional banking solutions for reloadable and non-reloadable programs. We are agile, we are innovative. We take a partnership approach; we tailor solutions and place a strong focus on operational excellence.

Our place is one of collaboration, teamwork & innovation. But, above all, it’s one that embraces difference. And rather than have you blend in, we want to help you unleash your full potential.

The team you’ll be joining
EML is currently pursuing an ambitious project to modernize and improve our offerings by building a new platform under singular architecture. As a Principal Data Engineer, you would be starting from a blank slate to build a modern platform for data engineering, analytics and reporting. You will help deploy and utilize Airflow for orchestration and Snowflake as our primary analytic database. Data will be drawn from many production replications, streams, and external sources with the end goals of:

Creating curated data sets of granular data for Analysts and Data Scientists.
Aggregating data and calculating metrics for use by Power BI.
Enabling Product Analytics by implementing tools such as Amplitude or Pendo.

As the platform matures and the data team expands, there will be an opportunity for this to potentially turn into a managerial role. You will also aid in establishing a culture of A/B testing by providing trustworthy data and standardizing attribution methods utilized by our A/B testing solution.

Role Title:

Principal Data Engineer
Reports to:

Head of Data Engineering
Location:

London/ UK (Hybrid)
Job Type:

Permanent

The Role
Work closely with Engineering on the deployment of Airflow, Snowflake, and other data engineering infrastructure.
Own the orchestration of our initial ELT/ETLs tasks from production data sources into our analytic data warehouse.
Collaborate with cross-functional teams (Product, Engineering, Data Science, and Compliance) to define data requirements.
Develop processes, workflows, and architectures to be followed by Data Engineers and Data Scientists that create tasks and tables.
Ensure compliance with data security, privacy, and regulatory standards, including PCIDSS and GDPR.
Empower Product and Business Operations with the data and tooling necessary to iteratively improve their work.

What you’ll bring
7+ years in data engineering, with at least 2 years in a principal or lead capacity.
Expert in designing and building enterprise-grade data warehouses.
Deep experience utilizing Apache Airflow, ideally having worked with both Celery and Kubernetes style implementations.
Experience working with both data lakes / flat file replications as well as streaming frameworks (e.g., Kafka, Kinesis).
Experience with Azure cloud services.
Proven track record of successfully empowering internal stakeholders to make better decisions.
Deep knowledge of database architecture. Current with emerging data technologies, improvements to existing databases and data warehousing solutions.
Ability to scale solutions from small data to big data.
Understanding of how nuances in attribution can have dramatic effects on the business. Ability to closely guard consistency in measurement and work with leadership in metric definition.
Experience setting up product analytics tools such as Amplitude, Pendo, and Heap.
Ability to assist in evaluating data technologies during the selection and procurement process.

What you will be offered
If you love what you do, you should love where you do it. We appreciate that everyone’s different and has their own preferences of where and how to work. We genuinely believe in the power of regular face-to-face interactions in building close connections with our teams, but we also strongly believe people can work effectively remotely. This means that combining both is the key to success.

25 days annual leave plus 2 days for volunteering, plus your birthday off - Plus an additional Take5 days should you use all of your 25 days!
Global business landscape that connects you with colleagues working throughout Australia, UK, North America and Europe with both short-term and long-term secondment options.
Hybrid working - Be empowered to work smarter, in a way that suits your lifestyle
Company Enhanced Family Leave Options*
12 weeks paid New Parent Leave*
Paid Professional Memberships
Pension Scheme*
Short term bonus scheme*
Company Private Medical Insurance Scheme – 50% covered by EML*
Long term illness cover – 75% of your basic Annual Salary
Life Assurance (Death in Service) Cover – 4x your basic Annual Salary
Employee Assistance Programme – accessible 24/7
BenefitsHub – get discount vouchers for your favourite retailers

(*some benefits are subject to qualifying criteria)

Company Culture and Values
Our place is one of collaboration, teamwork & innovation. But, above all, it’s one that embraces difference. And rather than have you blend in, we want to help you unleash your full potential.

Company Structure
EML is an ASX listed company head quartered in Brisbane, Australia, with approximately 480 employees throughout Australia, Europe, the UK, and America.

EEO Statement
Integrated into our Core Values is EML's commitment to diversity and inclusion. EML is committed to being a globally inclusive company where all people are treated fairly, recognised for their individuality, promoted based on performance and encouraged to strive to reach their full potential.

We believe in understanding and respecting differences. This concept encompasses but is not limited to human differences with regard to race, ethnicity, religion, gender, culture, and physical ability. Every individual at EML has an ongoing responsibility to respect and support a globally diverse environment.

National AI Awards 2025

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