Senior Data Engineer Python AWS SQL

Client Server
Manchester, UK
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£110,000.0
Working hours
Shift work

Tech stack

Amazon Web Services Python (Programming Language) NoSQL Standard Sql Software Construction SQL Databases Data Processing Scripting Software Coding Data Pipelines Docker

Requirements

You are a Senior Data Engineer with a strong knowledge of modern software engineering best practices You have indepth AWS experience across storage, compute and orchestration services You have strong Python scripting / coding skills for data wrangling and pipeline development You have strong SQL and NoSQL skills for complex transformations and validation queries You have experience with Docker and CI/CD for deployment You’re collaborative with great communication skills

Benefits & conditions

Senior Data Engineer (Python AWS SQL) Manchester / WFH to £110k Are you a data technologist who enjoys taking ownership?

You could be progressing your career in a senior, hands-on Data Engineer role at a technology start-up that is producing a software suite for legal firms that massively reduces para-legal workloads, they have seen huge interest in the product and have a lot of greenfield development work to get stuck into.

What’s in it for you: As a Senior Data Engineer you will receive a competitive package: Salary to £110k 25 days holiday Pension Hybrid working (x3 days office in Manchester) Impactful role with excellent career progression opportunities as the company scales

Your role: As a Senior Data Engineer you will take ownership of the data platform, optimising it for scalability to ensure successful client onboarding. You’ll use modern tools (such as Airflow, Prefect, Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency.

Location / WFH: You’ll join a small but growing team based in Central Manchester three days a week with flexibility to work from home the other two days.

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