# Databricks Data Engineer at NTT DATA, Inc.

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement scalable ETL/ELT pi

- **Company:** NTT DATA, Inc. (https://jobs.trythestack.co/companies/ntt-data-inc)
- **Location:** London, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Databricks, Spark/PySpark, Scala, Delta Lake, Unity Catalog, MLflow, DBT, SQL, Python, AWS, Azure, GCP
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://careers.nttdata.com/global/en/job/NTT1GLOBALR149374EXTERNALENGLOBAL/Databricks-Data-Engineer?utm_source=linkedin&utm_medium=phenom-feeds (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/databricks-data-engineer-ntt-data-inc

## About the role

Responsibilities:
- Design and implement scalable ETL/ELT pipelines on Databricks for batch and streaming data.
- Architect and optimise Lakehouse solutions using Delta Lake and medallion patterns.
- Implement governance, access control and metadata management using Unity Catalog.
- Integrate data sources, orchestration (Databricks Workflows), and CI/CD for production delivery.
- Enable ML workflows with MLflow and support model training/inference pipelines.
- Apply performance tuning, partitioning and data modelling to reduce costs and improve query performance.
- Collaborate closely with solution architects, engineers, analysts and client stakeholders; provide mentoring and knowledge transfer.

Requirements:
- 5+ years data engineering experience; 3+ years hands-on with Databricks/Spark (PySpark/Scala).
- Strong SQL and Python skills; experience with dbt or equivalent transformation tooling.
- Practical knowledge of Delta Lake, Unity Catalog, MLflow and medallion architecture.
- Experience deploying on cloud platforms (AWS, Azure or GCP) and integrating cloud native services.
- Familiarity with orchestration, version control and CI/CD best practices.
- Strong consulting and communication skills; client-facing experience preferred.

## Responsibilities

Design and implement scalable ETL/ELT data pipelines and Lakehouse architectures on Databricks, integrating batch and streaming sources. Optimize data models (Delta Lake, medallion architecture), enable governed data products, and collaborate with client stakeholders and cross-functional teams to deliver production-ready data solutions.

## Requirements

Minimum 5–8 years in data engineering or data architecture with at least 3+ years on Databricks, a university degree, strong SQL and Python skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Familiarity with Databricks platform components (Unity Catalog, MLflow), ETL tools (DBT/Matillion/Talend), version control and CI/CD, and experience leading or mentoring engineers is required.

## FAQ

- **Is this Databricks Data Engineer role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on NTT DATA, Inc.'s application page before applying.
- **Does NTT DATA, Inc. offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on NTT DATA, Inc.'s site.
- **Where is this role located?** The listing gives the location as London, GB, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Databricks, Spark/PySpark, Scala, Delta Lake, Unity Catalog, MLflow, DBT, SQL, Python, AWS, Azure, GCP.

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## Notes for agents

- Apply on the employer's page (https://careers.nttdata.com/global/en/job/NTT1GLOBALR149374EXTERNALENGLOBAL/Databricks-Data-Engineer?utm_source=linkedin&utm_medium=phenom-feeds). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "databricks-data-engineer-ntt-data-inc": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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