Data Engineer

Pleasant Valley Farm Equine Education Center; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading digital bank is seeking a Data Engineer to shape its data infrastructure. The successful candidate will design and manage cloud data technologies, ensuring data quality and supporting a data-driven culture in a fast-paced environment, with excellent benefits and a collaborative team.

Benefits

25 days annual leave

Private medical and dental care

Life assurance (6x salary)

10% employer pension contribution

Discretionary 20% bonus scheme

Qualifications

• Strong hands-on experience with Python in a data context.
• Proven skills in SQL.
• Experience with Data Warehousing, ideally Snowflake or similar.

Responsibilities

• Build and optimise robust data pipelines using Python, Kafka, Airflow, and DBT.
• Design and manage Snowflake data warehouse objects to support scalable analytics.
• Write clean and efficient SQL for reports and dashboards.

Skills

Python

SQL

AWS

DBT

Kafka

Airflow

Tools

Snowflake

Sisense

Looker

Tableau

Job description

Data Engineer - Python, SQL, DBT, AWS, Snowflake - Challenger Digital Bank

Location: London (Hybrid, 2 days per week in office)
Type: Permanent
Salary: Competitive + 20% bonus + excellent benefits

Are you a Data Engineer ready to shape the future of a digital-first banking experience? Join a fast-growing start-up challenger bank where data is at the core of every decision. You’ll play a key role in building the bank’s next-generation data infrastructure and enable insight-led growth from the ground up.

What you will be doing:

• Build and optimise robust data pipelines using Python, Kafka, Airflow, and DBT
• Design and manage Snowflake data warehouse objects to support scalable analytics
• Write clean and efficient SQL to support reporting, dashboards and data products
• Collaborate across engineering, analytics and product teams to enable data-driven decisions
• Drive data quality, performance and governance through best practice and documentation
• Support A/B testing, automation, and analytics innovation projects

What we are looking for:

• Strong hands-on experience with Python in a data context
• Proven skills in SQL
• Experience with AWS
• Experience with Data Warehousing (DWH) ideally with Snowflake or similar cloud data platforms (Databricks or Redshift)
• Experience with DBT, Kafka, Airflow, and modern ELT/ETL frameworks
• Familiarity with data visualisation tools like Sisense, Looker, or Tableau
• Solid understanding of data architecture, transformation workflows, and pipeline orchestration
• Clear communicator who can collaborate with both technical and non-technical stakeholders
• Comfortable working in a fast-paced, agile and product-focused environment

Why join us?

• Shape the future of data in a high-growth digital bank from day one
• Work with modern cloud and data technologies in a greenfield environment
• Join a collaborative, forward-thinking team that values learning and innovation
• Hybrid working model: 2 days per week in our central London office
• Excellent benefits:
• 25 days annual leave
• Private medical and dental care
• Life assurance (6x salary)
• 10% employer pension contribution
• Discretionary 20% bonus scheme

Apply now to be part of a tech-driven, mission-led bank where your work directly shapes the future of financial services.