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Principal Data Engineer

Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Substantial experience in data engineering, Strong understanding of data architecture.

Key responsabilities:

  • Design, develop, and maintain data pipelines
  • Collaborate with data analysts and scientists
Arqiva logo
Arqiva http://www.arqiva.com
1001 - 5000 Employees
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Job description

Job Description

Location We operate a flexible, hybrid working environment with the candidate required to travel to either our Winchester or London office once or twice a week.

We offer

  • Up to 95k base salary
  • 6% pension contribution
  • Private Medical
  • 25 days annual leave
  • Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance
  • Work. Life. Smarter. Our commitment to a flexible and hybrid working culture

Purpose

Leads the designs, build, and maintenance of scalable data pipelines and infrastructure, ensuring data quality and accessibility. Applies data engineering techniques to support data analytics and data science teams by providing reliable data systems and optimising data workflows.

Accountabilities

  • Design, develop, and maintain scalable and secure data pipelines
  • Implement best practices for data integration and ETL/ELT
  • Collaborate with data analysts and scientists to meet their data needs
  • Optimise the performance and reliability of data systems
  • Lead technical projects related to data infrastructure
  • Provide thought leadership through data engineering expertise and act as an SME for the team
  • Own relationships with suppliers in this ecosystem and peers in the industry

Skills

  • Data Engineering
  • ETL and ELT Tools
  • Virtualisation and cloud computing
  • Database Management Systems
  • Data Analysis
  • Data Modelling
  • Data Lineage
  • Data Catalogs
  • Data Security
  • Data Privacy
  • Communication Skills
  • Problem Solving
  • Agile Methodologies

Knowledge & Experience

  • Substantial experience in data engineering or a related field
  • Solid understanding of information/data modelling approaches
  • Strong knowledge of data architecture, database systems, and data warehousing concepts
  • Experience working with data engineering tools, cloud platforms, and large-scale data platforms
  • Excellent interpersonal skills and the ability to communicate with both business and technical minded colleagues
  • Familiarity with agile methodologies and iterative development approaches in data engineering

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks!

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Experience

Spoken language(s):
English
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