Senior Data Engineering Consultant at Telefonica Tech

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Manipulation, Azure AI, Data Science, Machine Learning, SQL, Python, Databricks, Pyspark, OpenAI, Azure Data Services, Kubernetes, Docker, Tensorflow, Pytorch, Data Architecture, Data Warehouse Theory

Industry

Telecommunications

Description

Company Description Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 exceptionally skilled employees and +60 nationalities. We serve more than 5.5m customers every day in over 175 countries, with a global ecosystem of market-leading partners. Global strategic hubs: Spain, Brazil, the UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold Trusted Partners: Microsoft: Top 3 Service Providers, Azure Expert Status, Fastrack & Inner Circle Partner HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part of our NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program – one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program Job Description Senior AI / Data Engineering Consultant We are looking for people that will guide us in our growth, innovate and mentor. We need you to help us break and create the rules to continue to be a place admired for our people, culture and innovation - and to help us in being a place that everyone wants to work, and no one wants to leave! The role will vary depending on the project but will primarily focus on the delivery of enterprise-level solutions in the Artificial Intelligence, Data Science / Machine Learning and Data Engineering arena. This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional travel. Our offices are in Farnham and London. The role can be based at either location. Induction, training and company meets are done at both offices. When we can, we generally get together at either of the offices either a Wednesday or a Friday. RESPONSIBILITIES Working on projects that utilise the Microsoft Azure technology stack across domains such as AI, Data Engineering, Data Science & Machine Learning. Satisfying the expectations and requirements of customers, both internal and external Supporting others in their development Contributing to the internal and external community Industry experience in delivering Microsoft Azure solutions, with a good grounding in all associated areas Proven written and spoken English Strategic and operational decision-making skills Outstanding interpersonal skills Ability and attitude towards investigating and sharing new technologies Ability to guide, direct or influence people Ability to identify opportunities, issues and risks Willingness to learn based on feedback Able to help others develop Ideally degree educated - computer science, data analysis, AI & Machine Learning etc Microsoft certified (nice to have) TECHNICAL SKILLS Peoples skills vary and that’s great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft / Databricks certifications are useful but not mandatory – we’ll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs (OpenAI, Prompt Engineering, LangChain) Relevant Azure Data & Computation services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React / CSS / JavaScript Azure infrastructure R, Powershell Kubernetes / Docker Tensorflow / Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Qualifications Additional Information We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.

Responsibilities

The role primarily focuses on delivering enterprise-level solutions in AI, Data Science, Machine Learning, and Data Engineering. It involves working on projects utilizing the Microsoft Azure technology stack and satisfying customer expectations.