Data Engineer

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it's a place where you can grow, belong and thrive. Your day at NTT DATA The Data Engineer (Consultant) is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or complemented by other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key responsibilities Creates data models in a structured data format to enable analysis thereof. Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources. Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations. Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems. Works across multiple IT and business teams to define and implement data table structures and data models based on requirements. Accountable for analysis, and development of ETL and migration documentation. Collabrates with various stakeholders to evaluate potential data requirements. Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Collabrates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. To thrive in this role, you need to have ETL Design and Development (Microsoft Fabric Data Factory, Databricks, Snowflake) Cloud and On-Prem Data Engineering / Warehousing (Azure SQL, Snowflake, Databrick, SSMS/SSIS) Programming languages (SQL, Python) Version Control (Azure Dev Ops, GIT) Data Visualisation (Power BI) Data Analysis and Mapping Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities. Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server. Minimum 5+ years of hands‑on experience with Microsoft Azure Data Factory or Microsoft Fabric is essential for this role. Seasoned understanding of data architecture landscape between physical and logical data models. Analytical mindset with excellent business acumen skills. Problem‑solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programming languages (Perl, bash, Shell Scripting, Python, etc.). Academic qualifications and certifications Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Certified Data Engineer, Certified Professional certification preferred. Required experience Minimum 5 years of experience as Data Engineer (Consultant). Seasoned experience as a data engineering, data mining within a fast‑paced environment. Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi‑terabyte scale. Seasoned experience with architecture and design of secure, highly available and scalable systems. Seasoned proficiency in automation, scripting and proven examples of successful implementation. Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.). Seasoned proficiency in working with SQL, MySQL databases and Microsoft SQL. Some of our benefits Flexible and hybrid working Leave options that allow you to contribute to your community, study, or just take time to recharge. A parental leave policy that supports parents and carers. Income protection insurance A comprehensive wellbeing program and associated benefits Everyone is welcome here For us, diversity is a strength that is nurtured through an inclusive and fair environment. We're committed to building a diverse workforce, including all and providing everyone with equal opportunities to thrive in their careers. Workplace type Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long‑term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start‑up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Australian work rights are required as visa sponsorship will not be considered for this position. #J-18808-Ljbffr