Data Engineer (Databricks Champion)

TechYard
Liverpool, England
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - Security Products, Monitored Access

Amazon London, United Kingdom
On-site

Data Engineer, Strategic Account Services

Amazon London, United Kingdom
Permanent

Senior Data Engineer, Core Experimentation

OpenAI United Kingdom
£293,000 – £325,000 pa Hybrid

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Simulation Data Engineer

PhysicsX London, United Kingdom
Posted
27 Jun 2025 (11 months ago)

Data Engineer – Databricks


About the Role

We’re looking for a Databricks Champion to design, build, and optimize data pipelines using Databricks. You’ll work with clients and internal teams to deliver scalable, efficient data solutions tailored to business needs.


Key Responsibilities

  • Develop ETL/ELT pipelines with Databricks and Delta Lake
  • Integrate and process data from diverse sources
  • Collaborate with data scientists, architects, and analysts
  • Optimize performance and manage Databricks clusters
  • Build cloud-native solutions (Azure preferred, AWS/GCP also welcome)
  • Implement data governance and quality best practices
  • Automate workflows and maintain CI/CD pipelines
  • Document architecture and processes


What We’re Looking For


Required:

  • 5+ years in data engineering with hands-on Databricks experience
  • Databricks Champion Status (Solution Architect / Partner)
  • Proficient in Databricks, Delta Lake, Spark, Python, SQL
  • Cloud experience (Azure preferred, AWS/GCP a plus)
  • Strong problem-solving and communication skills
  • Databricks Champion

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.