Senior Data Engineering Consultant

Telefónica Tech
City of London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Data Engineering Consultant

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

SAS Data Engineer

Data Engineer - (Python, SQL, Machine Learning) - Robotics

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


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.