Senior AI/Data Engineering Consultant

Telefonica Tech
London
6 days ago
Applications closed

Related Jobs

View all jobs

Senior Consultant - AI Analyst, Data & Analytics, Belfast

Head of Data and Analytics Engineering

Senior Data Engineering Manager

Senior Data Engineering Manager

Data Engineer - Senior Consultant

Senior Consultant

Job Description

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 


Qualifications

  • 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 



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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.