Senior Data Engineer at Version 1 Accelerate

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Ingestion, Data Transformation, Azure Services, Data Quality Checking, Data Storage, Data Visualization, ETL, Data Integration, Data Migration, Data Warehousing, Business Intelligence, Communication Skills, Capacity Planning, Succession Planning

Industry

IT Services and IT Consulting

Description

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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Responsibilities

The candidate will design, implement, and maintain complex data engineering solutions, including data pipelines and data quality checks. They will also contribute to organizational policies and standards for data engineering.