Data Engineer
Date Engineer / Data Analyst / Analytics / Junior Data Engineer / SQL / Python
Not every data role is about dashboards or ad-hoc analysis.
This one is for someone who enjoys getting close to the data itself taking messy, real-world raw data and turning it into clean, reliable datasets that other teams and clients can actually trust and use.
It's a hands-on role sitting at the intersection of data modelling, quality and product thinking, with plenty of ownership and room to influence how data products are designed and evolved.
What you'll be working on
You'll be part of a Data Products team responsible for shaping behavioural data into well defined, client ready datasets.
Day to day, you will:
- Design and evolve data schemas and fields, turning product requirements into clear, well modelled datasets
- Build and maintain data feeds using SQL, Python and internal (AI-assisted) tooling
- Apply business logic, validation rules and quality checks across large datasets
- Investigate data issues and improve reliability, consistency and trust in the outputs
- Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements
- Keep documentation clear, current and genuinely useful
This is a role for someone who cares about how data is structured, named and validated, not just whether a query runs.
Who this role suits
This role is a good fit if you:
- Enjoy working hands on with data rather than sitting at arm's length from it
- Like figuring out how real-world digital behaviour should be represented cleanly
- Care about data quality, edge cases and consistency
- Are comfortable collaborating with engineers, product managers and non technical stakeholders
- Are open to using AI tools to speed up understanding and reduce repetitive work
You'll likely bring:
- Strong SQL skills and experience working with large datasets
- Experience with at least one data-friendly language (such as Python)
- A high level of attention to detail
- Clear communication skills and a collaborative mindset
Nice to have (but not essential):
- Experience with event-level or behavioural data (web, apps, ads, etc.)
- Awareness of privacy and governance considerations
- Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks)
How you'll work
- Hybrid role, Manchester-based
- 2 days per week in the office, the rest flexible
- Flexible start and finish times
- Full home-working setup provided
Data Products Engineer / Data Analyst / Analytics / Junior Data Engineer
For further details and to apply, please send your CV to jon.brass @ circlerecruitment.com
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