Data Engineer: Cloud Data Platform (Snowflake, DBT)

DF Capital; Manchester; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private medical insurance

Private dental

10% employer pension

30 days holiday + BH

Gym membership

Discretionary bonus

Discretionary share awards

Life Assurance

Income Protection

Save As You Earn

Job summary

DF Capital, based in Manchester, seeks a Data Engineer to join our growing Data & Analytics team. You will build scalable cloud data solutions, ingesting data from internal systems and external services to support regulatory reporting and BI workloads.

You will own end-to-end data lifecycle, including data modelling, ETL/ELT, and automation, within a regulated financial services environment. This role offers a dynamic, collaborative setting in a modern data platform.

Qualifications

• Strong SQL skills with complex queries, transformations and models.
• Experience with modern cloud data architectures and platforms.
• Experience sourcing data from structured relational databases.
• Experience with semi-structured data (JSON, XML) and API integrations.
• Proficient in Python for automation and data processing.
• Knowledge of data warehousing concepts and dimensional modelling.
• Experience with Git-based source control and CI/CD processes.
• Understanding of data quality, testing and monitoring methodologies.

Responsibilities

• Design, develop and maintain scalable data pipelines and data integration solutions.
• Build and optimise SQL-based solutions within Snowflake.
• Create and maintain ELT processes for reporting and analytics.
• Develop data models supporting business, operational and regulatory needs.
• Ensure data quality, consistency and integrity across sources.
• Document data flows and transformation logic.

Skills

SQL

Python

Snowflake

DBT

Windmill

REST APIs

GitHub

CI/CD

Tools

DBT

Windmill

Job description

DF Capital, based in Manchester, seeks a Data Engineer to join our growing Data & Analytics team. You will build scalable cloud data solutions, ingesting data from internal systems and external services to support regulatory reporting and BI workloads.

You will own end-to-end data lifecycle, including data modelling, ETL/ELT, and automation, within a regulated financial services environment. This role offers a dynamic, collaborative setting in a modern data platform.