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About the Role

We are seeking an experienced Tech Consultant – Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. 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.

Responsibilities

• 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.

Requirements

• 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.
• 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.

Skills

• SQL
• Python
• ETL/ELT
• AWS
• Azure
• Google Cloud Platform
• Spark
• Databricks
• Snowflake
• Hadoop
• Apache Airflow
• Azure Data Factory
• AWS Glue
• Kafka
• Kinesis
• Pub/Sub
• Redshift
• BigQuery
• Synapse Analytics
• Docker
• Kubernetes
• Git
• CI/CD

Location

• London
• Remote

Work Type

• Hybrid

Experience Level

• 5+ years of experience in Data Engineering
• 4+ years of experience with SQL, Python, and ETL/ELT development
• 3+ years of experience with cloud data platforms
• 3+ years of experience with big data technologies

Education Level

• AWS Certified Data Analytics
• Azure Data Engineer Associate
• Google Professional Data Engineer
• Databricks certification

Salary/Compensations

• Competitive salary

Benefits

• Comprehensive, locally competitive benefits package

About the Company

• 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.
• 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.

Equal Opportunity

• 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.