Senior Data Engineer
Remote / Online - Candidates ideally in
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-06-03
Manchester, Greater Manchester, M9, England, UK
Listing for:
Harnham - Data & Analytics Recruitment
Full Time, Remote/Work from Home
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
The Company They are a data and technology driven organisation focused on building high quality analytics products that deliver measurable value. Data sits at the heart of everything they do, and they invest heavily in modern cloud platforms and engineering best practice. The culture is collaborative, delivery focused, and designed for people who want to build things properly. Their teams work on complex, real world data problems across multiple domains.
The Role You will be responsible for designing and building scalable, reliable data infrastructure that supports analytics and machine learning use cases. Architecting and developing robust data pipelines across multiple sources Working closely with analytics and data science teams to prepare data for advanced modelling Building production ready data services and platforms in the cloud Applying best practice in data quality, reliability, and lifecycle management Engaging with stakeholders to understand data requirements and translate them into technical solutions Your Skills and Experience Strong commercial experience as a Data Engineer using Python and SQL Proven capability building and maintaining cloud based data platforms Experience working with a range of data technologies such as relational databases, distributed processing, or modern data warehouses Confidence designing scalable, modular pipelines for analytics and machine learning Clear communication skills and the ability to work effectively with technical and non technical stakeholders What They Offer Salary up to £110,000 plus a 20% bonus Hybrid working with flexibility to work from home and regular time in the London office Opportunity to work on high impact data and AI initiatives Strong career progression with exposure to complex, business critical systems A collaborative environment that values quality engineering and continuous improvement
Position Requirements
10+ Years
work experience
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