Data Engineer - Python / SQL - London (Hybrid)

Square One Resources; London; On-site; GBP 100,000 - 125,000; Full time

Job summary

An innovative telecommunications company is seeking a skilled Data Engineer to join their team in London. This exciting role involves developing algorithms to enhance location inference models and optimizing data pipelines to ensure efficiency. You'll work with cutting-edge technologies and methodologies, contributing to projects that provide actionable insights and drive business success. If you're passionate about data and eager to tackle real-world challenges, this opportunity offers a chance to make a significant impact in a dynamic environment.

Qualifications

• Strong experience in writing, deploying, and optimising code (Python, SQL).
• Extensive experience creating and implementing methodologies in automated workflows.

Responsibilities

• Develop and refine algorithms for improving user location accuracy.
• Build and optimise data pipelines for efficiency and scalability.

Skills

Python

SQL

Data Science

Microsoft Azure

Git

Geospatial Data

Statistical Analysis

Large-scale Data Processing

Tools

Tableau

Power BI

GeoPandas

QGIS

PostGIS

Databricks

Spark

Job description

Job Title: Data Engineer - Python / SQL - London (Hybrid)
Location: Paddington (2 x day per week in London)
Salary/Rate: £490
Start Date: May 2025 (6 Months)
Job Type: Contract (Inside IR35)

Company Introduction

Our client is an industry leading UK telecommunications company who is currently recruiting for a highly skilled Data Engineer for a 12-month contract in Paddington (2 x days per week in the office)

Required Skills/Experience

1. To have worked for a consultancy company.
2. Data Science experience
3. Engineering experience
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.
13. Strong business awareness and aptitude for building and improving data products.
14. Self-motivated with excellent problem-solving, organisational, and time management skills.
15. Excellent written and spoken communication skills.
16. Must be available to interview the week commencing 19th of May (And ideally start the week commencing the 26th of May)


Desirable Skills/Experience
Although not essential, the following skills are desired by the client:

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 Accountability's and deliverable:

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.