

Chroma Recruitment
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a permanent or fixed-term basis in Manchester (Hybrid). Pay rate is competitive. Requires 2+ years of experience, strong SQL, hands-on dbt, and familiarity with Snowflake. Python and Git skills are essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
295
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🗓️ - Date
May 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
-
🔒 - Security
Unknown
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📍 - Location detailed
Manchester, England, United Kingdom
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🧠 - Skills detailed
#Agile #Snowflake #Data Pipeline #DevOps #Migration #Data Quality #SQL (Structured Query Language) #Cloud #dbt (data build tool) #Fivetran #Automation #Code Reviews #GitHub #Logic Apps #Azure #Python #Data Warehouse #Data Engineering #Azure Function Apps #"ETL (Extract #Transform #Load)" #Scripting #Azure DevOps #GIT
Role description
Data Engineer | Permanent or Fixed-Term | Manchester (Hybrid)
Ever wanted to work on a tech stack that actually excites you, at a brand that millions of people interact with every single day? This could be the one.
We're a globally recognised consumer brand in the middle of a major data modernisation programme, and they need a hands-on Data Engineer to help them build it.
The role
You'll be working day-to-day on a modern cloud data platform, building and maintaining pipelines that take data from a variety of source systems through to the analytics and reporting layer. The stack is Snowflake, dbt, and Fivetran, sitting on an Azure-based integration layer. This isn't maintenance work — you're building something new, and your fingerprints will be all over it.
You'll report into a Senior Data Engineer and work as part of a collaborative, fast-moving team delivering against real milestones. Both permanent and fixed-term contract routes are available.
What you'll be doing
• Building and maintaining data pipelines in Snowflake, dbt and Fivetran
• Writing clean, well-tested SQL, Python and dbt code
• Building dbt tests and data quality checks
• Contributing to CI/CD pipelines and improving team automation
• Participating in code reviews and Agile ceremonies
• Documenting your work so the whole team benefits
What we're looking for
• 2+ years' experience as a Data Engineer or Analytics Engineer
• Strong SQL you can write, debug and optimise non-trivial queries
• Hands-on dbt experience (Core or Cloud) actual usage, not just exposure
• Experience with at least one modern cloud data warehouse (Snowflake preferred)
• Python for data transformation and scripting
• Git and PR-based workflows
Bonus points for
• Fivetran or another managed ELT tool
• Azure (Function Apps, Data Factory, Logic Apps)
• CI/CD tooling such as GitHub Actions or Azure DevOps
• Data modelling knowledge (dimensional, medallion, semantic layer)
• MSSQL / T-SQL, particularly legacy migration experience
Why this role?
This is a genuine opportunity to grow fast. You'll be working on a recognised consumer brand at scale, mentored by senior engineers who care about your development, and getting real hands-on experience with a modern data stack that companies are desperate for right now. It's not a "maintain the spreadsheets" role, it's a build role, with scope and visibility.
Hybrid working from their Manchester Piccadilly office, three days a week. Competitive salary, bonus, private medical, pension, life assurance, and some very good perks on top.
Data Engineer | Permanent or Fixed-Term | Manchester (Hybrid)
Ever wanted to work on a tech stack that actually excites you, at a brand that millions of people interact with every single day? This could be the one.
We're a globally recognised consumer brand in the middle of a major data modernisation programme, and they need a hands-on Data Engineer to help them build it.
The role
You'll be working day-to-day on a modern cloud data platform, building and maintaining pipelines that take data from a variety of source systems through to the analytics and reporting layer. The stack is Snowflake, dbt, and Fivetran, sitting on an Azure-based integration layer. This isn't maintenance work — you're building something new, and your fingerprints will be all over it.
You'll report into a Senior Data Engineer and work as part of a collaborative, fast-moving team delivering against real milestones. Both permanent and fixed-term contract routes are available.
What you'll be doing
• Building and maintaining data pipelines in Snowflake, dbt and Fivetran
• Writing clean, well-tested SQL, Python and dbt code
• Building dbt tests and data quality checks
• Contributing to CI/CD pipelines and improving team automation
• Participating in code reviews and Agile ceremonies
• Documenting your work so the whole team benefits
What we're looking for
• 2+ years' experience as a Data Engineer or Analytics Engineer
• Strong SQL you can write, debug and optimise non-trivial queries
• Hands-on dbt experience (Core or Cloud) actual usage, not just exposure
• Experience with at least one modern cloud data warehouse (Snowflake preferred)
• Python for data transformation and scripting
• Git and PR-based workflows
Bonus points for
• Fivetran or another managed ELT tool
• Azure (Function Apps, Data Factory, Logic Apps)
• CI/CD tooling such as GitHub Actions or Azure DevOps
• Data modelling knowledge (dimensional, medallion, semantic layer)
• MSSQL / T-SQL, particularly legacy migration experience
Why this role?
This is a genuine opportunity to grow fast. You'll be working on a recognised consumer brand at scale, mentored by senior engineers who care about your development, and getting real hands-on experience with a modern data stack that companies are desperate for right now. It's not a "maintain the spreadsheets" role, it's a build role, with scope and visibility.
Hybrid working from their Manchester Piccadilly office, three days a week. Competitive salary, bonus, private medical, pension, life assurance, and some very good perks on top.






