Data Engineer

12 Hours ago • All levels • Data Analyst

About the job

Job Description

As a Data Engineer at Version 1, you'll design and implement high-performance data ingestion and transformation pipelines for large-scale organizations. You'll develop scalable frameworks, integrate data pipelines from source systems to target repositories, ensuring data quality and consistency. Collaboration with the project team on components like reporting tools and APIs is crucial. You'll evaluate various tools based on customer needs, working with structured and unstructured data (including imaging and geospatial). Experience with AWS or Azure, open-source big data products, and NoSQL databases is essential. Proficiency in data modeling, warehouse design, and DevOps principles is also expected.
Must have:
  • AWS or Azure experience
  • Open source big data experience
  • NoSQL database experience
  • Data modeling & warehouse design
  • DevOps & scripting (Python/Java)
  • Data ingestion & transformation pipelines
Perks:
  • Hybrid work schedule
  • Private medical & life insurance
  • Tech scheme
  • Incentivized certifications
  • Profit share scheme
  • Career development program
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Company Description

Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1.

We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.

As a consultancy and service provider, Version 1 is a digital-first environment, and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.

Job Description

As a Data Engineer you will join a team delivering transformative cloud hosted data platforms for a Version 1 customers.

You will have a proven track record as a Data Engineer and be adept in your ability to implement data ingestion and transformation pipelines for large scale organisations.

This career may align to individuals who like to work with a variety of technologies and data services, that will develop and deliver early proofs of concept and production implementation.

On a day to day basis you'll:

  • Design and implement highly performant data ingestion and transformation pipelines from multiple sources
  • Develop scalable and re-usable frameworks for ingestion and transformation of large data sets
  • Integrate the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
  • Work with other members of the project team to support delivery of additional project components (Reporting tools, API interfaces, Search)
  • Evaluate the performance and applicability of multiple tools against customer requirements.

Qualifications

  • Security Clearance eligible. You must have the right to work in the United Kingdom or Northern Ireland and have been resident in the United Kingdom or Northern Ireland for 5 or more consecutive years
  • Have practical experience designing and delivering using AWS or Azure such as: Azure SQL Data Warehouse, Azure Data Lake, AWS S3, AWS RDS, AWS Lambda or similar
  • Have experience with Open Source big data products i.e. Hadoop Hive, Pig, Impala or similar
  • Have experience with Open Source non-relational or NoSQL data repositories such as: MongoDB, Cassandra, Neo4J or similar
  • Be confident with your ability working with structured and unstructured data including imaging & geospatial data 
  • Understand working in a DevOps environment with object-orientated and object function scripting languages such as Python, Java or similar
  • Have expertise in data modelling, data warehouse design and data lake concepts and practices.

Additional Information

At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability.

One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.

We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat.

Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

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About The Company

London, England, United Kingdom (On-Site)

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London, England, United Kingdom (On-Site)

London, England, United Kingdom (On_site)

Dublin, County Dublin, Ireland (On_site)

Dublin, County Dublin, Ireland (On_site)

England, United Kingdom (On-Site)

London, England, United Kingdom (Hybrid)

Dublin, County Dublin, Ireland (On_site)

Belfast, Northern Ireland, United Kingdom (On-Site)

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