Data Engineer; Python, PySpark – Salford, Onsite.
Be part of a retail phenomenon!
This is a brand new role at a company experiencing huge growth, offering a lot of autonomy and the opportunity to grow as the company grows.
My client is seeking an experienced Data Engineer to join a growing Data Team within a fast-paced, e-commerce-led business that is growing at an astonishing rate.
The company operates in the direct-to-consumer retail space, and the role will require you to work on-site, 5 days a week.
As an experienced Data Engineer, you will join a Data Team that is on an exciting journey from legacy reporting to a cloud-based data solution, hosted within the Microsoft Fabric / Azure / Power BI environment.
The team is delivering more insights than ever before, with substantial opportunities still ahead and as a Data Engineer your role will play a key part in accelerating the data function by integrating new data sources, implementing enhancements, and resolving issues efficiently.
Key skills and experience needed as a Data Engineer;
- Experience in building data pipelines and writing clean, testable code in Python and/or PySpark.
- Experience working with data from a variety of sources, such as REST and SOAP APIs, CSV and Excel files, and transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200).
- Experience analysing data using Python (Pandas, NumPy) will also be required to support legacy reporting.
- Experience in monitoring, troubleshooting, and resolving production data issues as they arise.
- Experience in challenging and refining business requirements, ensuring clarity and alignment.
- Be able to, as a guardian of data, actively contribute to maintaining and enhancing data security standards.
- Experience in an e-commerce or retail environment would be advantageous, but is not essential.
- Knowledge of Power BI, semantic models, or other reporting tools would be highly beneficial.
This is a great opportunity to join a growing team in a growing organisation, where your career will ultimately grow as well.
The data team operates across both engineering and insight functions, offering a varied role. You may also support operational data integrations and occasional ad-hoc bulk data handling for analysis or transformation.
If you're an experienced Data Engineer looking to join a company where you're not just another member of the data team, but a valued and integral part of its future growth, then you MUST apply for this role.
Please note: this role requires you to work on-site 5 days a week.
Ascent People is acting as an employment agency for this role, and applicants of all ages and backgrounds will be considered.
”, “datePosted”: “2026-05-01”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Ascent People Ltd”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__418193201__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=19285” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Manchester” } } }Data Engineer; Python, PySpark – Salford, Onsite.
Be part of a retail phenomenon!
This is a brand new role at a company experiencing huge growth, offering a lot of autonomy and the opportunity to grow as the company grows.
My client is seeking an experienced Data Engineer to join a growing Data Team within a fast-paced, e-commerce-led business that is growing at an astonishing rate.
The company operates in the direct-to-consumer retail space, and the role will require you to work on-site, 5 days a week.
As an experienced Data Engineer, you will join a Data Team that is on an exciting journey from legacy reporting to a cloud-based data solution, hosted within the Microsoft Fabric / Azure / Power BI environment.
The team is delivering more insights than ever before, with substantial opportunities still ahead and as a Data Engineer your role will play a key part in accelerating the data function by integrating new data sources, implementing enhancements, and resolving issues efficiently.
Key skills and experience needed as a Data Engineer;
- Experience in building data pipelines and writing clean, testable code in Python and/or PySpark.
- Experience working with data from a variety of sources, such as REST and SOAP APIs, CSV and Excel files, and transforming it for ingestion into systems such as a lakehouse or other operational platforms (e.g. Sage 200).
- Experience analysing data using Python (Pandas, NumPy) will also be required to support legacy reporting.
- Experience in monitoring, troubleshooting, and resolving production data issues as they arise.
- Experience in challenging and refining business requirements, ensuring clarity and alignment.
- Be able to, as a guardian of data, actively contribute to maintaining and enhancing data security standards.
- Experience in an e-commerce or retail environment would be advantageous, but is not essential.
- Knowledge of Power BI, semantic models, or other reporting tools would be highly beneficial.
This is a great opportunity to join a growing team in a growing organisation, where your career will ultimately grow as well.
The data team operates across both engineering and insight functions, offering a varied role. You may also support operational data integrations and occasional ad-hoc bulk data handling for analysis or transformation.
If you’re an experienced Data Engineer looking to join a company where you’re not just another member of the data team, but a valued and integral part of its future growth, then you MUST apply for this role.
Please note: this role requires you to work on-site 5 days a week.
Ascent People is acting as an employment agency for this role, and applicants of all ages and backgrounds will be considered.
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