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Data Engineer
FORT
- Manchester, England, United Kingdom
- Manchester, England, United Kingdom
About
Base pay range The Opportunity
A great opportunity to join a high-growth, product-led technology business that’s investing in its data capabilities as it scales.
You’ll join a small, friendly and supportive data function, helping to build and improve the pipelines and datasets that sit behind business reporting and analytics. The team is lean right now, so this role comes with genuine ownership and the chance to shape how data engineering is done going forward.
Working pattern
This is a
remote-first
role
The Why? (Top 3)
High ownership, early-stage data function
You’ll be one of the key people helping define standards, patterns, and best practice as the data capability grows.
BI work with visible business impact
You’ll build pipelines that directly enable reporting and decision-making across the organisation.
Modern tooling and strong engineering approach
Hands‑on work with AWS and Databricks, focusing on scalable, maintainable data pipelines.
The What…
As a Data Engineer, you’ll help build and manage the data platform and tooling that supports reporting and analytics. You’ll work cross‑functionally with engineers and stakeholders, contribute to technical direction, and help embed robust engineering practices across the data estate.
Core responsibilities include:
Building and maintaining data pipelines that support
BI reporting (AWS QuickSight)
Developing and optimising
SQL‑first
transformations (this role leans more SQL than Python)
Working with
Databricks / Spark
for scalable batch processing (and some streaming exposure where relevant)
Partnering with stakeholders to deliver reliable, well‑structured datasets and reporting outputs
Contributing to documentation, data quality, version control and deployment best practice
Supporting the evolution of the data platform as the team grows
What you’ll bring
Commercial experience in a
Data Engineering
(or similar) role
Strong
SQL
and confidence working in a cloud data environment
Experience with
Databricks and or Spark
Exposure to
AWS
GitHub and a solid grasp of modern engineering workflows
Nice to have (not required):
AWS QuickSight
DBT
Structured Streaming or real‑time pipeline exposure
Infrastructure as Code (Terraform or CDK)
Seniority level
Associate
Employment type
Full‑time
Job function
Information Technology
Industries
Information Services
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Languages
- English
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