Data Engineer - Python / SQL - London (Hybrid)

Job Title: Data Engineer/Consultant - Python / SQL - London (Hybrid)
Location: Paddington (2 x day per week in London)
Salary/Rate: Up to £490 a day inside IR35
Start Date: June 2025
Job Type: 12 Month Contract (Inside IR35)

Company Introduction

Our client is an industry leading UK telecommunications company who are currently recruiting for a highly skilled Data Engineer / Data Consultant with Python, SQL & Azure experience for a 12-month contract.
The successful candidate must be able to demonstrate where they have added value to a team through innovation or process improvements
Strong Data Consultancy experience is also required for this role.
Working two days per week in the London, Paddington office.

Required Skills/Experience

1. Strong Data Engineering / Data Consultant experience
2. Extensive experience in SQL Python
3. Engineering experience
4. Experience of platforms/frameworks such as PySpark and DataBricks
4. Strong experience in writing, deploying, and optimising code (Python, SQL, or equivalent).
5. Extensive experience creating and implementing methodologies/algorithms in an automated workflow.
6. Experience with Microsoft Azure
7. Deep understanding of databases and ability to write efficient analytical queries.
8. Hands-on experience in developing, testing, and deploying complex data models and methodologies.
9. Proficiency with Git for version control and collaboration.
10. Strong statistical and mathematical background with an ability to apply advanced analytics to real-world data challenges.
11. Experience with large-scale data processing
12. Ability to work with geospatial data and spatial analysis techniques.


Desirable Skills/Experience

1. GIS experience and proficiency with geospatial libraries (e.g., GeoPandas, QGIS, PostGIS).
2. Familiarity with Databricks and distributed computing frameworks (e.g. Spark).
3. Exposure to CI/CD pipelines and workflow automation.
4. Experience with data visualisation tools such as Tableau, Power BI, or equivalent.
5. Knowledge of deploying machine learning models into production environments.

Key Accountabilities and deliverables:

1. Enhancing Location Inference Models: Develop and refine algorithms that improve the accuracy and precision of inferred user locations using MND data.
2. Localised Population Density Insights: Design, prototype, and validate a concept for understanding and visualising population density at a granular level using mobile network data.
3. Data Pipeline Development & Optimisation: Work with engineers to build and optimise data pipelines, ensuring efficiency and scalability.
4. Continuous Improvement: Drive methodological advancements and improvements in data processing and modelling practices.
5. Customer-Centric Approach: Ensure outputs align with business needs, providing actionable insights to customers and stakeholders.
6. Technical Support & Issue Resolution: Respond to technical challenges efficiently, ensuring data integrity and consistency.


If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.


Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.

Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.