> Markdown version of [/jobs/ext/3007988-principal-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/3007988-principal-databricks-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Principal Databricks Engineer

- **Company:** Nimble
- **Location:** Manchester, UK
- **Salary:** £24,000.0 - £36,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Python (Programming Language), Performance Tuning, SQL Databases, Data Streaming, Apache Spark, Deployment Automation, Data Management, Software Version Control, Databricks
- **Published:** September 20, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/principal-databricks-engineer/47643153

## About the Role

help to ensure we maintain high operational standards. Empower Others: Mentor and coach Senior and Lead consultants, giving them the confidence and support to drive technical initiatives of their own. Helping to grow the capability, not just build solutions. 3. Leading Our Clients Trusted Technical Advisor: Build lasting relationships with senior client stakeholders and become their go-to person for technical vision, strategy and the honest answer. Translate Complexity: Diagnose the real problem behind the stated requirement, and explain trade-offs, risks and options in language that lands with both engineers and executives. Bring Clients With You: Uplift client engineering teams as well as your own, leaving them more capable than you found them. What You Bring Databricks Expertise: Significant hands-on experience with Databricks, having delivered multiple platform implementations end to end, backed by certifications (Databricks Data Engineer Professional or equivalent preferred; Data
Engineer Associate as a minimum). Databricks Champion status is a strong plus. Solution Architecture: A proven track record of designing and owning data platform architectures at scale, across at least one major cloud (Azure, AWS or GCP), with a clear grasp of the non-functional requirements that make or break them. Data Engineering Depth: Strong command of Spark, SQL and Python, data modelling, streaming and batch patterns, performance tuning, and engineering practice (version control, testing, automated deployment). Engineering Leadership: Demonstrable experience leading teams of engineers - technically and as people - in a consultancy, product or in-house environment. Client Leadership: Confidence and credibility with senior stakeholders, and the judgement to know when to push back, when to compromise and when to *** Engaging Communicator: Exceptional interpersonal skills, able to build rapport quickly and, explain hard technical ideas to non-technical audiences

## Description

with cloud provider services, to design robust, pragmatic solutions. You know when to build, when to buy, and how to advocate for the right choice. End-to-End Accountability: Own the architecture across the full lifecycle of ingestion, transformation, governance, orchestration, serving and consumption whilst staying close enough to the code to know your designs hold up in practice. Data Engineering Fundamentals: Bring rigour to how we model, test, deploy and operate data platforms: dimensional and medallion modelling, CI/CD, infrastructure as code, observability, cost management and data quality by design. 2. Leading Teams of Engineers Lead from the Front: Build and lead high-performing delivery teams, setting direction, breaking down ambiguity and unblocking the people around you. Set the Standard: Establish the bar for "what good looks like" across multiple teams through design reviews, coding standards, architectural principles and reusable patterns. Your expertise and engagement will


## Related Videos

- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [TiDB, One Layer at a Time: How Distributed SQL Became an Agentic AI Backbone](https://www.wearedevelopers.com/videos/100117-tidb-one-layer-at-a-time-how-distributed-sql-became-an-agentic-ai-backbone)

## Related Articles

- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)