Data Engineer - Snowflake
London
Data Engineer - Snowflake
London

Who we are:

At NTT DATA are exceptional together and we believe in growing by helping others grow, clients and employees.

We are constantly evolving, by creating more opportunities within our organisation and looking to innovative projects that shape your future. We provide all with the support you need to achieve the career of your dreams and we will give you the tools to become the best version of yourself you’d like to see.

We are stronger by supporting people be who they want to be, work how they work best and envision the future through their own uniqueness. We provide a safe environment in which all of us can be ourselves and reach our full potential.  This is a place where all individuals can be their true selves. Our success comes from our people, regardless of ethnicity, cultural background, gender, nationality, sexual orientation, or anything else that can be used to differentiate people because we are exceptional together.

Because by supporting each other be who they want to be, work how they work best we bring innovation and we build more opportunities for everyone and a better future for our business, our people and our society.

We understand you may not tick all the boxes of the requirements lists but if you are interested in this or other opportunities within NTT DATA, do not think twice and apply!

As part of our continuous growth, we are looking for a Snowflake Engineer to join our Data & Analytics team in London.

What you'll be doing:

As a Data Engineer, you will work in partnership with our clients to deliver value, solve problems, and make a difference.

You will be empowered to achieve your goals, and you will be involved in a wide array challenges and experiences giving you exposure to a variety of technologies, ensuring you always have the opportunity to learn and grow.

Those who wish to benefit from long term career opportunities, within a prosperous Technology Consultancy environment, please get in touch.

What you'll need:

  • +3 years of experience working and delivering data related projects.
  • 1 year of experience working with Snowflake Database
  • Experience in one of ETL tool, for example: Matillion, DBT, Fivetran, SSIS, Informatica, Azure Data Factory, Oracle Data integrator, Ab Initio etc.
  • Understanding of design techniques of relational databases, ETL as well as data concepts such as Data Marts, Data Warehouses
  • Experience with DataOps  and CI/CD practises.
  • Experience in using Agile methodologies (Scrum, Kanban, etc.)

Nice to have:

  • Data architecture and modelling experience
  • Data Warehouse Design - an understanding of best practices, common issues, and resolutions.
  • Experience in Cloud Azure/AWS/GCP
  • Understanding of data management concepts

...and finally:

Where you’ll be:

Our employees' safety is priority, so currently you will be working from the comfort of your own home most of the time. In the future when we can spend time in some more time of our offices, in Bank or Epworth House. As a result, you will be able to enjoy London’s vibrant dynamics!

.... And another thing, you will be joining a close-knit team that is supportive and approachable. Which means that as a new joiner, you will always have someone available to offer help and guidance.

How to apply:

We appreciate that you may not have an up to date CV, so please just send what you have and let's organise a chat!

Back to search Email to a friend Apply now

Service Line Manager

Borja Ochoa
Data & Analytics Director

Location
2 Royal Exchange

“Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day.

At NTT DATA UK, we are proud to support and invest in our people. We offer a variety of rewarding career paths and opportunities to develop professionally - with access to cutting edge innovation.”

Fernando Apezteguia, CEO, NTT DATA UK

NTT DATA
#loveyourwork
Apply
Jobs at NTT DATA

Browse all