Principal Data Engineer

83data; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading payments and fintech platform in London is looking for a Principal Data Engineer to design and build a modern data platform. This role focuses on scalable data warehouse architecture and high-performance pipelines, while collaborating with cross-functional teams. The ideal candidate will have a strong technical background and the ability to lead and mentor others in the team.

Benefits

Competitive base salary + bonus

Flexible hybrid working model

Private healthcare & wellness benefits

Learning and development support

Opportunity to shape the future of payments data infrastructure

Qualifications

• 7+ years in Data Engineering with 2+ in a lead role.
• Expertise in building enterprise data strategies.
• Strong communication skills across business and technical teams.

Responsibilities

• Design scalable and secure data warehouse solutions for BI and analytics.
• Lead orchestration of ETL/ELT workflows using Apache Airflow.
• Mentor junior data engineers and champion best practices.

Skills

Data Architecture

Dimensional Modelling

Data Security

Stakeholder Management

Python

SQL

ETL/ELT Workflows

Apache Airflow

Cloud Platforms

Education

Degree in Computer Science or related field

Tools

Apache Airflow

AWS

GCP

Azure

Terraform

Job description

This range is provided by 83data. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from 83data

Location: London, UK – Hybrid (Liverpool Street office)

Reports To: Head of Data Science

Employment Type: Permanent

A leading global payments and fintech platform, empowering clients to innovate and scale. Their mission is to create frictionless, secure, and intelligent payment solutions that unlock value across banking, financial services, and digital assets.

As they continue to scale their data infrastructure, they’re seeking a seasoned Principal Data Engineer to help design, build, and optimise a modern data platform, with a focus on orchestration (Airflow), scalable data warehouse architecture, and high-performance pipelines.

The ideal candidate will bring both technical depth and strategic thinking, with the ability to communicate effectively across business and technical teams.

Key Responsibilities

• Design and lead the development of scalable, secure, and high-performance data warehouse solutions for BI and analytics.
• Define and drive the long-term architecture and data strategy in alignment with business goals.
• Own orchestration of ETL/ELT workflows using Apache Airflow, including scheduling, monitoring, and alerting.
• Collaborate with cross-functional teams (Product, Engineering, Data Science, Compliance) to define data requirements and build reliable data flows.
• Champion best practices in data modelling, governance, and DevOps for data engineering (CI/CD, IaC).
• Serve as a key communicator between technical teams and business stakeholders, translating complex data needs into actionable plans.
• Mentor and lead data engineers, fostering continuous learning and technical excellence.
• Ensure compliance with data security, privacy, and regulatory standards (e.g., PCI-DSS, GDPR).
• 7+ years in Data Engineering, with 2+ years in a Principal or Lead role.
• Proven experience designing and delivering enterprise data strategies.
• Exceptional communication and stakeholder management skills.
• Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift).
• Hands-on experience with Apache Airflow (or similar orchestration tools).
• Strong proficiency in Python and SQL for pipeline development.
• Deep understanding of data architecture, dimensional modelling, and metadata management.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with version control, CI/CD, and Infrastructure-as-Code (Terraform or similar).
• Background in fintech or payments.
• Knowledge of streaming frameworks (Kafka, Kinesis).
• Experience with dbt and data quality frameworks (e.g., Great Expectations).

What’s on Offer

• Competitive base salary + bonus
• Flexible hybrid working model (Liverpool Street office)
• Private healthcare & wellness benefits
• Learning and development support
• The opportunity to shape the future of payments data infrastructure

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Financial Services and Data Infrastructure and Analytics

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