Square One Resources

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on an initial 12-month contract, based in Sutton (hybrid, 2 days in-office). Pay rate is £400-450 per day. Key skills include Python, SQL, ETL processes, and AWS services.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
450
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🗓️ - Date
August 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Snowflake #SQS (Simple Queue Service) #SQL (Structured Query Language) #Data Lakehouse #Data Manipulation #NoSQL #Data Storage #Data Warehouse #Linux #Lambda (AWS Lambda) #SNS (Simple Notification Service) #Data Engineering #Data Lake #DevOps #Cloud #Data Design #.Net #Code Reviews #AWS (Amazon Web Services) #Security #Terraform #Agile #Python #S3 (Amazon Simple Storage Service) #Debugging #GitHub #"ETL (Extract #Transform #Load)" #IAM (Identity and Access Management) #Storage
Role description
Job Title: Senior Software Engineer Location: Sutton (2 days in the office - Tuesdays and Thursday) Salary/Rate: £400-450 per day inside IR35 Start Date: August Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Senior Software Engineer to join their team in Sutton on a hybrid basis. Job Responsibilities/Objectives This role involves leading complex research, design, and software development activities within a defined functional area. It contributes directly to project plans, schedules, and development methodologies for cross-functional software products. The role includes designing software solutions—often spanning multiple systems—mentoring more junior team members, and collaborating with users and customers to translate requirements into effective technical solutions. • Write and review detailed specifications for the development of complex system components. • Collaborate closely with team members in an Agile environment to understand complex product requirements and translate them into software and data designs. • Follow established development processes, applying coding standards and security best practices, and actively participate in code reviews. • Troubleshoot and resolve complex technical issues, including debugging and defect resolution. • Contribute to the design and evolution of complex data models. • Act as the primary point of expertise for supporting and maintaining the existing Data Lakehouse platform. Required Skills/Experience The ideal candidate will have the following: • Strong proficiency in data manipulation languages, including performance optimisation techniques. • Strong understanding of both normalised and dimensional data modelling principles. • Strong knowledge of multiple data storage systems and architectures. • Expertise in Python development, along with query languages including SQL and NoSQL. • Solid knowledge of DevOps practices, with hands-on experience using GitHub Actions. • Experience with AWS services such as S3, Lambda, SQS, SNS, and IAM is desirable. • Proven knowledge and hands-on experience with ETL processes and data synchronisation pipelines. • Hands-on experience with Snowflake (or similar cloud data warehouse platforms) is preferred. • Strong knowledge of Terraform, Linux, and .NET technologies. • Excellent oral and written communication skills.