Databricks Lead Engineer
NTT Ltd., Digbeth, Birmingham
Databricks Lead Engineer
Salary not available. View on company website.
NTT Ltd., Digbeth, Birmingham
- Full time
- Permanent
- Onsite working
Posted 1 week ago, 5 Sep | Get your application in now before you miss out!
Closing date: Closing date not specified
Job ref: a5a5af9a846a466aa38f96832f9ae304
Location ref: Digbeth, Birmingham
Full Job Description
- 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
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. Technical Expertise
- 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, Qualifications, and Education
- 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. 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.
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 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each
Direct job link
https://www.jobs24.co.uk/job/databricks-lead-engineer-127354253