Senior Data Engineer (Consultant)

Telefónica Tech (EN)
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Telefónica Tech (part of the Telefónica Group) is a leading NextGen Tech solutions provider with a highly diversified team of over 6,000 skilled employees and +60 nationalities.

We serve more than 5.5 million customers daily across over 175 countries, supported by a global ecosystem of market-leading partners. Our strategic hubs are located in Spain, Brazil, the UK, and Germany.

The Telefónica Tech UK&I hub offers an end-to-end portfolio of market-leading services and develops integrated technology solutions to accelerate digital transformation, focusing on Cloud, Data & AI, Enterprise Applications, Workplace Services, and Cyber Security & Networking.

Values: Open, Trusted, and Bold

Our trusted partners include:

  • 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

Role: We seek individuals who will guide our growth, innovate, and mentor. You will help us challenge conventions to maintain our reputation for our people, culture, and innovation. Our goal is to be an employer everyone admires and no one wants to leave.

The role primarily involves delivering enterprise-level applications in Business Intelligence and Data Analytics. It is a client-facing position, requiring comfort in client communication and occasional travel.

Our offices are in Farnham and London; the role can be based at either location. Induction, training, and company meetings are conducted at both sites, with regular gatherings typically on Wednesdays or Fridays.

Responsibilities:

  • Working on projects utilizing Microsoft Azure and SQL Data Analytics stack
  • Meeting the expectations and requirements of internal and external customers
  • Supporting team development
  • Contributing to the community, both internal and external

Qualifications:

  • Experience delivering Microsoft Azure/SQL Data Analytics solutions
  • Proficiency in written and spoken English
  • Strategic and operational decision-making skills
  • Excellent interpersonal skills
  • Interest in exploring and sharing new technologies
  • Ability to guide, influence, and develop others
  • Degree in computer science, data analysis, or related field (preferred)
  • Microsoft certification (advantageous)

Technical Skills:

Comfort with at least three of the following core technologies and interest in at least four others:

  • SQL
  • Python
  • Power BI / Analysis Services / DAX
  • Data Modelling / Data Warehouse Theory
  • Azure Fundamentals

Additional desirable skills include Azure Databricks, Synapse Analytics, Data Factory, DevOps, MSBI stack, PowerShell, Azure Functions, PowerApps, Data Science, and Azure AI services.

Certifications such as Databricks Certified Associate/Professional and Microsoft Azure Certifications are beneficial but not mandatory.


#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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.