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NTT DATA Services

Tech Consultant - Data Engineer

London
Posted about 23 hours ago
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Req ID: 384296

Competitive salary | UK: hybrid: London + remote

At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence, and our ability to help our clients stay a step ahead of the competition. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.

Job Title: Tech Consultant – Data Engineer

Role Summary:

NTT DATA is currently looking for a Tech Consultant - Data Engineer (hybrid: London + remote) for our growing team in the UK.

We are seeking an experienced Tech Consultant – Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate will have strong expertise in ETL/ELT processes, data modeling, cloud-based data platforms, and big data technologies. The role involves collaborating with business stakeholders, data architects, data scientists, and application teams to build reliable, secure, and high-performance data solutions that support analytics and business intelligence initiatives.

Day to Day Job Duties:

  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data ingestion, transformation, and integration processes from multiple data sources.
  • Develop and maintain data models, data warehouses, and data lakes to support business reporting and analytics.
  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions.
  • Optimize data pipeline performance, scalability, reliability, and data quality.
  • Implement data governance, validation, and security best practices.
  • Troubleshoot production data issues and perform root cause analysis.
  • Develop reusable data frameworks and automation for data processing.
  • Support CI/CD deployment of data engineering solutions and participate in code reviews.
  • Maintain technical documentation and follow Agile development practices.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Basic Qualifications:

  • 5+ years of experience in Data Engineering and building enterprise data pipelines.
  • 4+ years of experience with SQL, Python, and ETL/ELT development.
  • 3+ years of experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
  • 3+ years of experience with Spark, Databricks, Snowflake, Hadoop, or other big data technologies.

Nice to Have:

  • Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
  • Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
  • Experience with data warehouse solutions such as Snowflake, Redshift, BigQuery, or Synapse Analytics.
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience with version control (Git) and CI/CD pipelines.
  • Understanding of data governance, data quality, and metadata management.
  • Experience working in Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
  • AWS Certified Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks certification is preferred.

Benefits

Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com, and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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Skills

Data Engineering
SQL
Python
ETL/ELT
AWS
Azure
Google Cloud Platform
Spark
Databricks
Snowflake
Hadoop
Data Modeling
Data Warehousing
Data Governance
CI/CD
Agile

Location

London, England, United Kingdom

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