Data Engineer (SC Cleared)

Who we are:

You'll be joining the 6th largest IT Service Provider, present in more than 50 countries. From our roots in Japan, NTT DATA's mission is to facilitate business change and technology transformation across many industries for a better future for our business, people and community.

Everything we do is underpinned by our core values of 'Clients First', 'Teamwork' and 'Foresight' and we achieve these by putting people first.

We support and celebrate our differences and preferences, these are what makes us unique. Some of our initiatives, collectively known as “DO Diversity”, aim to create a space for us to learn and get involved in building a truly diverse environment.

What you'll be doing:

NTT DATA are looking for a Data Engineer to work within a dynamic, remote-first data engineering capability to deliver cloud based data solutions using best-in-class RDBMS, ETL/ELT, and Cloud platforms for blue-chip customers across a range of sectors.

You will work within a cross-functional team of fellow Data Engineers, as well as Architects, Business Analysts and Quality Assurance Analysts to provision data ingestion, transformation, and load capabilities in a Scaled Agile environment.  You will be comfortable with stakeholder engagement and take ownership for the delivery of key solution components.

What you'll need:

• Strong SQL skills, with significant experience in at least one of the major relational database management systems (e.g. SQL Server, PostgreSQL, Oracle)
• Proficiency with at least one of the major cloud platforms (e.g. Azure, GCP, AWS)
• Design and build of modern data pipelines (e.g. Azure Data Factory/Synapse Pipelines, Talend, Matillion)
• Comfort with industry standard version control tooling (e.g. git, Mercurial, SVN) and associated CI/CD pipelines
• Ability to interpret high-level blueprints and reference architectures into low-level design, and low-level design into code
• Demonstrable experience working across the full SDLC, from analysis and design, through build, and into live
• Exposure to, and ideally experience with, modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Azure Synapse, Snowflake, Amazon Redshift)
• Working knowledge of relational database design fundamentals (e.g. relational/dimensional modelling, indexing, partitioning)
• Other relevant skills include:
  • General purpose languages for dealing with data e.g. Scala, Python, Java
  • Experience with classic 'big data' frameworks e.g. Hadoop, Spark, Kafka, Hive
  • Experience with NoSQL databases e.g. columnar, doc store, graph
  • Optimisation of dashboards (e.g. Power BI, Tableau, QlikView) with a focus on usability, performance, flexibility, testability, and standardization
  • Build, test, and deployment of optimised data solutions for analytics and reporting (for example datamarts, views, perspectives, cubes)
  • Planning of data platform services including sizing, configuration, and needs assessment

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

APPLY HERE: NTT Data Jobs: Data Engineer (SC Cleared)