Data Engineer - Python / Data Science - London (Hybrid) [3Days Left]...

Job Title: Data Engineer - Python / SQL - London(Hybrid) Location: Paddington (2 x day per week in London)Salary/Rate: £490 Start Date: May 2025 Job Type: Contract (InsideIR35) Company Introduction: Our client is an industry leading UKtelecommunications company who are currently recruiting for ahighly skilled Data Engineer / Data Consultant with Data Science,Python, SQL & Azure experience for a 12-month contract. StrongData Consultancy experience is also required for this role. Workingtwo days per week in the London, Paddington office. RequiredSkills/Experience: 1. Strong Data Engineering / Data Consultantexperience 2. Data Science experience 3. Engineering experience 4.Strong experience in writing, deploying, and optimising code(Python, SQL, or equivalent). 5. Extensive experience creating andimplementing methodologies/algorithms in an automated workflow. 6.Experience with Microsoft Azure 7. Deep understanding of databasesand ability to write efficient analytical queries. 8. Hands-onexperience in developing, testing, and deploying complex datamodels and methodologies. 9. Proficiency with Git for versioncontrol and collaboration. 10. Strong statistical and mathematicalbackground with an ability to apply advanced analytics toreal-world data challenges. 11. Experience with large-scale dataprocessing 12. Ability to work with geospatial data and spatialanalysis techniques. 13. Strong business awareness and aptitude forbuilding and improving data products. 14. Self-motivated withexcellent problem-solving, organisational, and time managementskills. 15. Excellent written and spoken communication skills. 16.Must be available to interview the week commencing 19th of May (Andideally start the week commencing the 26th of May) DesirableSkills/Experience: 1. GIS experience and proficiency withgeospatial libraries (e.g., GeoPandas, QGIS, PostGIS). 2.Familiarity with Databricks and distributed computing frameworks(e.g. Spark). 3. Exposure to CI/CD pipelines and workflowautomation. 4. Experience with data visualisation tools such asTableau, Power BI, or equivalent. 5. Knowledge of deploying machinelearning models into production environments. Key Accountability'sand deliverable: 1. Enhancing Location Inference Models: Developand refine algorithms that improve the accuracy and precision ofinferred user locations using MND data. 2. Localised PopulationDensity Insights: Design, prototype, and validate a concept forunderstanding and visualising population density at a granularlevel using mobile network data. 3. Data Pipeline Development &Optimisation: Work with engineers to build and optimise datapipelines, ensuring efficiency and scalability. 4. ContinuousImprovement: Drive methodological advancements and improvements indata processing and modelling practices. 5. Customer-CentricApproach: Ensure outputs align with business needs, providingactionable insights to customers and stakeholders. 6. TechnicalSupport & Issue Resolution: Respond to technical challengesefficiently, ensuring data integrity and consistency. If you areinterested in this opportunity, please apply now with your updatedCV in Microsoft Word/PDF format. Disclaimer Notwithstanding anyguidelines given to level of experience sought, we will considercandidates from outside this range if they can demonstrate thenecessary competencies. Square One is acting as both an employmentagency and an employment business, and is an equal opportunitiesrecruitment business. Square One embraces diversity and will treateveryone equally. Please see our website for our full diversitystatement. #J-18808-Ljbffr