NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.Role SummaryWe are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in enabling data-driven decision-making by ensuring data is reliable, accessible, and optimized for analytics and machine learning use cases.Key ResponsibilitiesData Engineering & ArchitectureDesign, develop, and maintain scalable ETL/ELT pipelinesBuild and optimize data warehouses, data lakes, and lakehouse architecturesEnsure efficient data ingestion, transformation, and storageDevelop reusable frameworks and standards for data engineering best practiceData Modelling & WarehousingDesign data models (dimensional, normalized, star/snowflake schemas)Collaborate with analytics teams to support BI and reporting requirementsOptimize data structures for performance and scalabilityCloud & Platform EngineeringBuild and maintain data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as:Azure Data Factory / Synapse / DatabricksAWS Glue / Redshift / EMRGoogle BigQuery / DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor and troubleshoot pipelines to ensure high availability and performanceImplement robust error handling, logging, and alertingData Quality & GovernanceEnsure data quality, integrity, and consistencyImplement validation, testing, and monitoring frameworksWork with governance teams on data security, compliance, and policiesCollaboration & LeadershipPartner with Data Scientists, Analysts, and Product teamsMentor junior data engineers and promote best practicesContribute to architectural decisions and strategic planningRequired Skills & ExperienceTechnical SkillsStrong proficiency in SQL and data modellingExcellent programming skills in Python, Scala, or JavaHands-on experience with distributed data frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform:Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with:Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure as Code (Terraform, ARM, CloudFormation)About NTT DATANTT 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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .NTT DATA endeavors to make 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 . 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.#LI-EMEAPosting Date:Department:CONS: International Banking - 1460252071
Senior Data Engineer in London employer: NTT DATA
At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.
