Senior Data Engineering Consultant
New Today
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 5.5 million 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).
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 may travel occasionally. Our offices are in Farnham and London; the role can be based at either location.
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.
- Deliver Microsoft Azure solutions with a strong grounding in all associated areas.
- Proven written and spoken English.
- Strategic and operational decision‑making skills.
- Outstanding interpersonal skills.
- Investigate and share new technologies.
- Guide, direct or influence people.Identify opportunities, issues and risks.
- Willingness to learn based on feedback.
- Help others develop.
- Ideally degree‑educated – computer science, data analysis, AI & Machine Learning etc.
- Microsoft certified (nice to have).
Technical Skills
Core:
- Data Manipulation (SQL, Pandas, PySpark).
- Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services).
- Data Science & Machine Learning (Databricks, Python, scikit‑learn, 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
- Relevant experience delivering Microsoft Azure solutions.
- Strong analytical, problem‑solving and communication skills.
- Experience with data engineering and data science projects.
- Ability to work autonomously and collaboratively.
- Continuous learning mindset.
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 the role, please get in touch.
Seniority level
Associate
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
Telecommunications
- Location:
- City Of London, England, United Kingdom
- Salary:
- £80,000 - £100,000
- Job Type:
- FullTime
- Category:
- Consulting
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