Databricks Data Engineer, NTT
Technology & business solutions
Be an early applicant
Technology & business solutions
1001+ employees
Be an early applicant
1001+ employees
Company mission
To create a lasting impact, by delivering meaningful innovation.
Role
Who you are
- Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms
- Strong consulting values with ability to collaborate effectively in client-facing environments
- Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption
- Strong problem-solving, analytical, and communication skills
- Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions
- Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow)
- Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
- Strong SQL and Python (or equivalent language) skills for data manipulation and automation
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with Databricks Workflows and other orchestration tools
- Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
- Familiarity with medallion architectures, data lakehouse principles and distributed data processing
- Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines
- Understanding of data governance, security, and compliance frameworks
- Exposure to AI/ML workloads desirable
- Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks
- Education: University degree required
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
- Databricks certifications (Data Engineer Professional) highly desirable
What the job involves
- We are seeking a highly skilled Databricks Data Engineer to join our Data & AI practice.
- The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform.
- This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients
- As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines.
- You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions
- Primary Responsibilities;
- Client Engagement & Delivery
- Data Pipeline Development (Batch and Streaming)
- Databricks & Lakehouse Architectures
- Data Modelling & Optimisation (Delta Lake, Medallion architecture)
- Collaboration & Best Practices
- Quality, Governance & Security
- Business Relationships;
- Solution Architects
- Data Engineers, Developers, ML Engineers, and Analysts
- Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
- Measures of Success;
- Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements
- High client satisfaction and successful adoption of Databricks-based solutions
- Demonstrated ability to innovate and improve data engineering practices
- Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership
Salary benchmarks
Our take
NTT is a global company providing digital business consulting, alongside technology for cybersecurity, cloud computing, workplace operations, and more. Established as the Nippon Telegraph and Telephone Public Corporation in 1952, the company has transformed for the digital era and delivers products that help its clients do the same.
From beginnings as a telephone business, NTT has evolved into a data-led technology and business solutions provider. Its NTT Data branch, now a certified B corporation, was launched in 1988 to create value for clients by leveraging IT, showing that the company adapted early on to the approaching digital revolution. A series of acquisitions in the 2000s and 2010s transformed the company’s structure into what it is today, giving it the capacity to deliver improved solutions across the globe.
NTT serves over 75 of the Fortune Global 100 companies. And in 2023, the company announced its membership in the Joint Cyber Defense Collaborative (JCDC), which aims to strengthen the focus on cybersecurity in the US government and internationally. This, alongside other partnerships such as that of NTT Research with Harvard, aligns with NTT’s goal to be proactive in solving the world’s biggest problems with data.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company HQ
5, Chiyoda City, Tokyo
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