Business Consultant - Databricks in London

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.

We are currently seeking a Business Consultant - Databricks to join our team in London, London, City of (GB-LND), United Kingdom (GB).

Key Responsibilities

• Design, optimize, and maintain scalable Databricks pipelines (ETL, streaming, ML workflows).
• Perform cluster and job performance tuning: optimize cluster sizing, caching, partitioning, and shuffle management.
• Monitor Spark job metrics, analyze logs, and identify bottlenecks in data throughput or latency.
• Implement cost-optimization strategies for Databricks jobs and clusters using autoscaling and job consolidation.
• Ensure efficient scheduling and orchestration of jobs using Databricks Workflows.
• Collaborate with data scientists and platform teams to improve query performance on Delta Lake.
• Develop automated monitoring and alerting mechanisms using Databricks REST APIs, Prometheus, or Azure Monitor.
• Maintain best practices for data engineering performance, testing, and documentation.

Technical Skills Required

• Strong proficiency with Databricks, Apache Spark (SQL, PySpark, Scala), and Delta Lake.
• Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.
• Experience tuning job configurations (e.g., memory management, parallelism, caching, adaptive query execution).
• Familiarity with orchestration tools: Databricks Workflows, Airflow, or Azure Data Factory.
• Proficiency in Python or Scala for data engineering and pipeline development.
• Hands-on experience with Azure, AWS, or multi-cloud Databricks deployments.
• Knowledge of data storage layers (Azure Data Lake Storage, AWS S3) and performance trade-offs.
• Version control (Git, GitHub Actions, DevOps pipelines) and CI/CD practices for Databricks.

Desirable Skills

• Experience with Databricks monitoring and observability (Ganglia, Prometheus, or Datadog).
• Understanding of serverless Databricks clusters.
• Familiarity with Terraform and infrastructure as code for Databricks resource management.
• Exposure to MLflow and model-serving pipelines for end-to-end performance optimization.
• Experience with Unity Catalog and fine-grained governance controls.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 3–7 years of experience in data engineering, with a minimum of 2 years in Databricks-focused performance tuning.
• Databricks Certified Data Engineer (Professional) or equivalent certification preferred.

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 centres 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 centres 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 is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.