Senior Data Engineer

  • Full-time
  • Department: Digital, Data and Cloud

Company Description

Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Our expertise enables our customers to navigate the rapidly changing Digital-First world we live in. We foster strong partnerships with leading technology giants including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.

We’re an award-winning employer reflecting how our employees are at the very heart of Version 1 and what we do:

  • Premier AWS, Microsoft & Oracle partner
  • 3500+ strong, €350/£300m revenue business
  • 10+ years as a Great Place to Work
  • Best Workplace for Women in the UK & Ireland by GPTW
  • Best Workplace for Wellbeing in the UK by GPTW

We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!

Job Description

The ideal candidate will have a proven track record in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies to play an important role in developing and delivering early proofs of concept and production implementation.

Qualifications

Essential Criteria:

  • Designs, implements, and maintains complex data engineering solutions to acquire and prepare data.
  • Creates and maintains data pipelines to connect data within and between data stores, applications and organisations.
  • Carries out complex data quality checking and remediation.
  • Contributes to organisational policies, standards, and guidelines for data engineering.
  • Designing and implementing highly performant data ingestion & transformation pipelines from multiple sources using Azure services.
  • Familiar with Dynamic 365 data model.
  • Deep technical expertise in Data Engineering including In-depth knowledge of Data Engineering practices, including Data Storage, Data Visualization, ETL, Data Integration & Migration, Data Warehousing, and Business Intelligence.
  • Strong communication skills with the ability to develop thought leadership materials, including whitepapers, blogs, webinars, etc.
  • Experience in capacity planning and succession planning to manage workloads effectively.

Additional Information

Why Version 1?

Share in our Success Excellent base salary plus commission with no ceiling & an opportunity to join our new V1 Equity success Scheme   

Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development review 

Ways of working now with remote & hybrid working options but there is always as a good excuse to get together too  

Moments that matter & our enhanced maternity & paternity leave policies for life’s journey 

A large training budget for accreditations and educational assistance for courses relevant to your role. Ways

Wellbeing activities: an innovative Well Tech Scheme,Yoga, sponsored marathon and local team sports 

Version 1 Annual Excellence Awards & our ‘ Call-Out’ platform where performance is called out and recognised 

Our active ESG & CSR initiative allows you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. 

PLUS, many more exciting benefits… drop us a note to find out more.  

We are an equal opportunities employer.  Please refer to our Diversity & Inclusion statement located at:  Diversity, Inclusion & Belonging | Version 1 Careers 

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