Senior Data Engineer

Posted Yesterday
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Pune, Mahārāshtra, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Blockchain • Cloud • Internet of Things • Cybersecurity
The Role
Designs and provisions Azure infrastructure for customer data analytics workloads, supports Azure DevOps delivery and production operations, and improves solution architecture and internal processes. The role provides technical escalation, evaluates new Azure technologies, transfers technical knowledge, and mentors the managed services team. It is customer-facing and may occasionally require remote work outside normal office hours.
Summary Generated by Built In
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

The role operates as a key member of our Managed Services team, assisting with the design and provisioning of Azure infrastructure for our customers’ cloud workloads including Data Analytics platforms and providing DevOps support during solution delivery and on into production operation.

This is a customer facing position. You will be working with our customers daily. 

You’ll be working, collaborating and socialising with your colleagues across all four offices. There will be a need to occasionally work outside of the normal office hours, but this can be remotely (from your home).

RESPONSIBILITIES 

As a Senior Data Engineer - Managed Services you will be expected to do the following:

  • Architect & provision Azure infrastructures for a variety of workloads including data analytics platforms
  • Deploy and maintain Azure DevOps for Azure platform delivery and production support
  • Understand new Azure technology developments and develop the application of these to our customers’ scenarios.
  • Influence the architecture of solutions such that they are supportable, including input into delivery frameworks and processes
  • Ensure that technical knowledge is transferred and retained
  • Act as a technical point of escalation for the Managed Service we deliver to our clients
  • Collaborate on the definition and on-going improvement of internal processes;
  • Mentor the wider Managed Service team

Qualifications

EXPERIENCE & SKILLS

  • Good Hands on Experience on Azure Cloud or any of the following: Azure Data Factory, Azure Data Lake, Power BI, SQL Server, Databricks.
  • Demonstrable understanding of SQL; querying
  • Experience with Python/Pyspark
  • Enterprise level cloud & infrastructure practices and an interest in application delivery 
  • An attention to detail and a focus on continual improvement
  • Problem solving
  • Ability to identify opportunities and issues
  • Strong written and spoken English
  • Interpersonal skills
  • Experience of most of the following (but not limited to):
  • Microsoft Azure Cloud Adoption Framework (CAF), Azure Landing Zones, Hub/Spoke Networks, ARM Templates, Azure DevOps including Pipelines and Repos.

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.

At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger.
 
Be yourself with us, and feel that you belong. 

We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. 
 
We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability.

 

 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. 

Skills Required

  • Hands-on experience with Microsoft Azure Cloud
  • Experience with Azure Data Factory, Azure Data Lake, Power BI, SQL Server, or Databricks
  • Demonstrable understanding of SQL querying
  • Experience with Python and PySpark
  • Understanding of enterprise-level cloud and infrastructure practices
  • Interest in application delivery
  • Strong problem-solving skills
  • Ability to identify opportunities and issues
  • Strong written and spoken English
  • Strong interpersonal skills
  • Experience with Azure Cloud Adoption Framework, Azure Landing Zones, Hub/Spoke Networks, ARM Templates, Azure DevOps Pipelines, and Azure DevOps Repos
  • Attention to detail and focus on continual improvement
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The Company
HQ: Madrid, Madrid
3,848 Employees

What We Do

We accelerate tech adoption through our services of Cyber Security, Cloud, IoT, Big Data, AI and Blockchain. Follow on our social media channels: • Twitter: https://twitter.com/TefTech_EN • LinkedIn Telefónica Tech AI of Things: https://www.linkedin.com/showcase/telefonicatech-aiofthings • Linkedin Telefónica Cyber Security & Cloud: https://www.linkedin.com/showcase/telefonicatech-cybersecurity-cloud • Youtube: https://www.youtube.com/user/telefonicatech • Instagram: https://www.instagram.com/telefonicatech • Twitch : https://www.twitch.tv/telefonicatech • Blog: https://business.blogthinkbig.com/telefonica-tech/

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